{"meta":{"query_hash":"ab52465b3095","filters":{"venue":"International Geoscience and Remote Sensing Symposium"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ab52465b3095","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Geoscience+and+Remote+Sensing+Symposium"},"results":[{"id":"W120341459","doi":"","title":"Anticipated Improvements in Precipitation Physics and Understanding of Water Cycle from GPM Mission","year":2003,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Global Precipitation Measurement; Environmental science; Meteorology; Radiometer; Constellation; Context (archaeology); Satellite; Hydrometeorology; Water cycle; Remote sensing; Precipitation; Computer science; Geography; Engineering; Physics; Aerospace engineering","score_opus":0.02996284358194838,"score_gpt":0.24623592912404502,"score_spread":0.21627308554209662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W120341459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858499,0.00004490998,0.01194786,0.0002824611,0.00027881862,0.000057896432,0.00000853557,0.000007108056,0.0015224649],"genre_scores_gemma":[0.99676126,0.0000676597,0.0029804811,0.00005409187,0.000021027061,8.185483e-9,0.000037202328,0.0000016558564,0.00007663078],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991361,0.000054111148,0.00019042977,0.00021085965,0.00027436813,0.00013415582],"domain_scores_gemma":[0.9997277,0.000054284526,0.00006860365,0.000053311986,0.000050997933,0.000045055112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030933536,0.00007521967,0.00009677671,0.000110173525,0.000089010726,0.000061921,0.000055258562,0.00003127157,0.00003287313],"category_scores_gemma":[0.000037859743,0.00005614685,0.000019081876,0.00012523057,0.000085193904,0.00026659833,0.000008638705,0.000048991733,0.000002779381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008656715,0.000051459916,0.302131,0.000034957266,0.000083119434,0.000012431968,0.008253148,0.0057439907,0.5372668,0.0003269348,0.000011319062,0.14599828],"study_design_scores_gemma":[0.00082118995,0.0000751533,0.12874258,0.00019692924,0.00003196573,0.0000038628377,0.001047642,0.79855084,0.04360166,0.026589518,0.00010091139,0.00023775549],"about_ca_topic_score_codex":0.0024314532,"about_ca_topic_score_gemma":0.00045689833,"teacher_disagreement_score":0.79280686,"about_ca_system_score_codex":0.000010916193,"about_ca_system_score_gemma":0.000014304387,"threshold_uncertainty_score":0.36756462},"labels":[],"label_agreement":null},{"id":"W1929337670","doi":"","title":"CoReH2O, A Dual Frequency Radar Staellite for Cold Regions Hydrology","year":2011,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radar; Dual (grammatical number); Hydrology (agriculture); Remote sensing; Geology; Environmental science; Meteorology; Computer science; Telecommunications; Geography; Geotechnical engineering","score_opus":0.042071160678719466,"score_gpt":0.24525551974963328,"score_spread":0.2031843590709138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1929337670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9520187,0.00036681077,0.008008332,0.005944635,0.004069874,0.00042330858,0.0013057422,0.00008813748,0.027774457],"genre_scores_gemma":[0.965254,0.0012098937,0.02605599,0.0032416806,0.0007070989,2.1915334e-7,0.0006327326,0.000012053312,0.0028863042],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889034,0.000027411692,0.00020245508,0.00035524616,0.00020495382,0.00031956495],"domain_scores_gemma":[0.99942446,0.000120924946,0.00009157853,0.00013435086,0.000105431085,0.00012325648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024077647,0.00013126225,0.00013084864,0.00012587303,0.00025805781,0.000072365,0.00016809396,0.00007766467,0.00022973849],"category_scores_gemma":[0.000028939174,0.00011007001,0.00005564034,0.0001233385,0.00030913652,0.00022095963,0.000020730311,0.00009057391,0.000036106347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012507534,0.00027725036,0.2933883,0.00024017488,0.00038176103,0.0013001945,0.034649376,0.0001318836,0.3768592,0.021612015,0.007960718,0.26194838],"study_design_scores_gemma":[0.0032813773,0.002266823,0.1957996,0.00041224514,0.00018505134,0.0035418777,0.0018905575,0.50098926,0.009746042,0.054749522,0.22484748,0.0022901485],"about_ca_topic_score_codex":0.011974205,"about_ca_topic_score_gemma":0.009034574,"teacher_disagreement_score":0.5008574,"about_ca_system_score_codex":0.000007153056,"about_ca_system_score_gemma":0.000042054937,"threshold_uncertainty_score":0.9946051},"labels":[],"label_agreement":null},{"id":"W2123850207","doi":"","title":"KARIN: The Ka-Band Radar Interferometer for the Proposed Surface Water and Ocean Topography (SWOT) Mission","year":2013,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ocean surface topography; Mesoscale meteorology; Altimeter; Remote sensing; Geology; Ocean current; SWOT analysis; Radar; Nadir; Meteorology; Sea-surface height; Climatology; Environmental science; Geodesy; Geography; Satellite; Computer science; Aerospace engineering","score_opus":0.008379753341397417,"score_gpt":0.20411370067123158,"score_spread":0.19573394732983415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123850207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97211754,0.0004938206,0.004062704,0.021178784,0.00085165387,0.00037046892,0.000008776911,0.00002994767,0.0008863295],"genre_scores_gemma":[0.99370575,0.00032386364,0.0038860177,0.00085531385,0.000121869496,2.9991398e-8,0.000012855619,0.000004048136,0.0010902772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989405,0.000031767064,0.0001762812,0.00030920515,0.00026697808,0.00027521615],"domain_scores_gemma":[0.9993681,0.00023834477,0.00005889511,0.00013530097,0.000118595635,0.000080806894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029685436,0.00014482952,0.000104242594,0.000027887985,0.00061870017,0.00045141188,0.00028638527,0.000046521207,0.000051251875],"category_scores_gemma":[0.000022080809,0.00006084139,0.00005338459,0.00014825551,0.00053204404,0.00031757416,0.000036155874,0.000113151975,0.000006314509],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036657663,0.00006799288,0.070493795,0.00018903129,0.0003429847,0.000026526726,0.0076470487,0.0010095066,0.049427584,0.0001827364,0.004997991,0.8652482],"study_design_scores_gemma":[0.001326959,0.0006776685,0.11625287,0.00028850473,0.00012338159,0.0006194046,0.003181709,0.7771832,0.02189141,0.013161965,0.064338766,0.00095419097],"about_ca_topic_score_codex":0.0015636573,"about_ca_topic_score_gemma":0.00007702028,"teacher_disagreement_score":0.86429405,"about_ca_system_score_codex":0.000002404802,"about_ca_system_score_gemma":0.000019478266,"threshold_uncertainty_score":0.47586042},"labels":[],"label_agreement":null},{"id":"W2164212530","doi":"","title":"The DMRT-ML Model: Numerical Simulations of the Microwave Emission of Snowpacks Based on the Dense Media Radiative Transfer Theory","year":2014,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Snow; Environmental science; Microwave; Radiative transfer; Radiometer; Remote sensing; Snow cover; Atmospheric sciences; Atmospheric radiative transfer codes; Microwave radiometer; Sea ice thickness; Sea ice; Meteorology; Cryosphere; Geology; Climatology; Physics; Computer science; Optics; Telecommunications","score_opus":0.012060608925091199,"score_gpt":0.21598535853676248,"score_spread":0.20392474961167129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164212530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81651217,0.00010061977,0.16131032,0.017196096,0.0009955362,0.00024152761,0.00009150494,0.000013105355,0.0035391182],"genre_scores_gemma":[0.9980259,0.000046463058,0.000990283,0.00068443915,0.00005437825,3.7242124e-8,0.0000056085723,0.000002423675,0.00019046503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897885,0.00013720286,0.00020854379,0.00016136908,0.00037904055,0.00013496711],"domain_scores_gemma":[0.99734384,0.0022142618,0.00008648225,0.0001831581,0.00013628541,0.000035946498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005068467,0.00009010277,0.00009638144,0.000020995854,0.00052692986,0.000036210477,0.00025596836,0.00003327984,0.000016532576],"category_scores_gemma":[0.000389085,0.00004012402,0.0000709371,0.00020666979,0.00051778543,0.000049182152,0.00001889051,0.00010752439,0.0000010246529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002681903,0.00005323498,0.0128041245,0.000013887136,0.00007548559,0.0000012293035,0.0067302054,0.7637046,0.012254828,0.008715269,0.00043460156,0.19494432],"study_design_scores_gemma":[0.00011043489,0.000028978255,0.030791475,0.000039788058,0.000012890316,0.0000019823397,0.00026428857,0.9631292,0.0010507475,0.0037468919,0.00076843443,0.000054846976],"about_ca_topic_score_codex":0.00039887635,"about_ca_topic_score_gemma":0.00034112614,"teacher_disagreement_score":0.19942462,"about_ca_system_score_codex":0.0000058718824,"about_ca_system_score_gemma":0.00005425587,"threshold_uncertainty_score":0.40527716},"labels":[],"label_agreement":null},{"id":"W2346358105","doi":"","title":"The 19 to 89 GHz emissivity response of snow on sea ice to early melt processes: a model study of hemispheric contrasts","year":2012,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Snow; Emissivity; Sea ice; Geology; Climatology; Remote sensing; Materials science; Optics; Geomorphology; Physics","score_opus":0.012217594194261052,"score_gpt":0.24983128284702938,"score_spread":0.23761368865276833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346358105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897972,0.000014157783,0.0073530297,0.0016079388,0.00032590493,0.00023341387,0.000027227154,0.000009952898,0.0006312217],"genre_scores_gemma":[0.99572647,0.000017768525,0.0031154351,0.0004421726,0.000054406686,8.5274216e-8,0.000002187079,0.000003151073,0.0006383017],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986297,0.00007745891,0.00024077059,0.00023047024,0.00054868235,0.0002729171],"domain_scores_gemma":[0.9986914,0.000607817,0.00012304443,0.00016311578,0.00021233382,0.00020232645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008778732,0.00011605495,0.00014217445,0.000066580134,0.0002344419,0.000051813055,0.00027045835,0.000032901313,0.000004637979],"category_scores_gemma":[0.0006208266,0.00007768383,0.000025776355,0.0003077262,0.00013657955,0.000172255,0.000043596454,0.000090489804,0.000006345951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010449852,0.00087272504,0.25848234,0.0001737084,0.0002358937,0.000040932908,0.09882733,0.11814627,0.035903268,0.00013483656,0.0003534989,0.47637933],"study_design_scores_gemma":[0.0006536919,0.0014383678,0.3095392,0.0002852965,0.00004149323,0.000094612515,0.0060688932,0.67794746,0.0027247223,0.00022818892,0.00059926655,0.00037880224],"about_ca_topic_score_codex":0.0035503695,"about_ca_topic_score_gemma":0.0005443472,"teacher_disagreement_score":0.5598012,"about_ca_system_score_codex":0.000012890906,"about_ca_system_score_gemma":0.00012429002,"threshold_uncertainty_score":0.53671205},"labels":[],"label_agreement":null},{"id":"W2731093040","doi":"","title":"SLAPex Freeze/Thaw 2015: The First Dedicated Soil Freeze/Thaw Airborne Campaign","year":2016,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Guelph; Université de Sherbrooke","funders":"","keywords":"Environmental science; Remote sensing; Radar; Radiometer; Ground truth; Microwave radiometer; Water content; Meteorology; Geology; Engineering; Geography; Computer science; Aerospace engineering; Geotechnical engineering","score_opus":0.00577393054737293,"score_gpt":0.21429776472231185,"score_spread":0.20852383417493892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731093040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6124078,0.0003069421,0.031466383,0.20567353,0.00864403,0.000699431,0.000043763688,0.00043427426,0.14032383],"genre_scores_gemma":[0.98731863,0.00035108312,0.0023598862,0.0030628894,0.000519721,1.4914251e-7,0.00000616399,0.000031030297,0.006350439],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99722904,0.00007616389,0.0003909573,0.0007723106,0.0009469127,0.0005845948],"domain_scores_gemma":[0.998763,0.00024995804,0.0002099299,0.0005019525,0.0000712362,0.00020392262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000582917,0.00031309156,0.00021537326,0.00010259924,0.00068485376,0.00018136553,0.0006458216,0.00015878372,0.00011305103],"category_scores_gemma":[0.00012871476,0.00017187938,0.000117547825,0.0003743327,0.0016049814,0.00039792803,0.0004617114,0.00023029637,0.00036506346],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104126506,0.00010680192,0.032026194,0.0000151023405,0.000095034535,0.00022991355,0.002097479,0.0003091506,0.2563351,0.00021512405,0.038657866,0.6698081],"study_design_scores_gemma":[0.0021411723,0.00027631418,0.62448734,0.00084142527,0.00013486062,0.0019700152,0.00074194506,0.033061344,0.036832493,0.0051156743,0.29274547,0.0016519602],"about_ca_topic_score_codex":0.016895995,"about_ca_topic_score_gemma":0.013002093,"teacher_disagreement_score":0.66815615,"about_ca_system_score_codex":0.00015257283,"about_ca_system_score_gemma":0.000041674684,"threshold_uncertainty_score":0.9896506},"labels":[],"label_agreement":null},{"id":"W2965538761","doi":"","title":"The Effects of Temporal and Topographic Decorrelation on Forest Height Retrieval Using Airborne Repeat-Pass L-Band Polarimetric SAR Interferometry","year":2016,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decorrelation; Remote sensing; Synthetic aperture radar; Interferometric synthetic aperture radar; Lidar; Terrain; Interferometry; Geology; Digital elevation model; Radar imaging; Radar; Polarimetry; Geodesy; Geography; Computer science; Physics; Cartography","score_opus":0.009054187028907403,"score_gpt":0.21883165703453786,"score_spread":0.20977747000563046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965538761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918907,0.00072883704,0.004256909,0.001230458,0.0015019577,0.00011805638,0.000014839036,0.000013908041,0.0002443094],"genre_scores_gemma":[0.9968618,0.0009133439,0.0017482761,0.00010394776,0.00010651756,6.632526e-9,0.000005644627,0.0000032515532,0.00025720376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989207,0.00004518138,0.0002387555,0.00027472552,0.0003286234,0.00019204336],"domain_scores_gemma":[0.99866587,0.0008680181,0.00015634435,0.00013231291,0.00011229235,0.0000651928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032141607,0.0001177895,0.00012505209,0.00014432584,0.00042208578,0.000082690836,0.00012903733,0.000053669548,0.000005500054],"category_scores_gemma":[0.0003745946,0.00006524958,0.000044714536,0.00048519814,0.00035945117,0.00019228693,0.000029247738,0.000080407954,0.0000021605981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023267916,0.000021717167,0.7527665,0.00003188671,0.00008804867,0.000018857096,0.00027177957,0.000115325915,0.013033052,0.0002612723,0.000054064087,0.23310481],"study_design_scores_gemma":[0.00034827797,0.00027736253,0.96992326,0.0002119294,0.000021788503,0.000046005793,0.0000734373,0.025726818,0.0011599351,0.0007116111,0.0013648206,0.00013478223],"about_ca_topic_score_codex":0.003157269,"about_ca_topic_score_gemma":0.0006504689,"teacher_disagreement_score":0.23297001,"about_ca_system_score_codex":0.00001316992,"about_ca_system_score_gemma":0.000026675614,"threshold_uncertainty_score":0.47728676},"labels":[],"label_agreement":null},{"id":"W751228070","doi":"","title":"Variations in the Sea Ice Edge and the Marginal Ice Zone on Different Spatial Scales as Observed from Different Satellite Sensor","year":2006,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Sea ice concentration; Remote sensing; Special sensor microwave/imager; Sea ice thickness; Advanced very-high-resolution radiometer; Moderate-resolution imaging spectroradiometer; Cryosphere; Environmental science; Radiometer; Geology; Arctic ice pack; Climatology; Satellite; Oceanography; Microwave; Brightness temperature; Physics","score_opus":0.009959798679239544,"score_gpt":0.20561687449536822,"score_spread":0.19565707581612868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W751228070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97563994,0.00007432091,0.006848874,0.014060014,0.00065829174,0.00017555984,0.00006068574,0.000014309594,0.002468017],"genre_scores_gemma":[0.9969299,0.00028519818,0.00084733515,0.0011282882,0.00030392536,1.0450113e-7,0.000113458605,0.0000032317598,0.00038854455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985164,0.00019626938,0.000238235,0.00033187843,0.00047863388,0.00023863053],"domain_scores_gemma":[0.9987185,0.00093325117,0.00010130564,0.00015261873,0.00004389964,0.000050395185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033505354,0.00016919327,0.00015325045,0.00006733206,0.0003976367,0.00026373967,0.00023523087,0.00005336743,0.000022260436],"category_scores_gemma":[0.000046403497,0.000087898814,0.00004640094,0.00009977615,0.00045909898,0.00011972013,0.0000345923,0.00021313844,0.000013286823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013047643,0.00024138168,0.56709635,0.000037244623,0.00011179242,0.00020413105,0.00629679,0.0018221592,0.0021143062,0.00933291,0.000067941866,0.41137022],"study_design_scores_gemma":[0.0004843858,0.000038600563,0.7069632,0.000045939985,0.000017753608,0.000060065508,0.00028515403,0.2881625,0.000028621567,0.0033994853,0.00040581476,0.00010850104],"about_ca_topic_score_codex":0.056664042,"about_ca_topic_score_gemma":0.016204882,"teacher_disagreement_score":0.4112617,"about_ca_system_score_codex":0.000013778002,"about_ca_system_score_gemma":0.00002038051,"threshold_uncertainty_score":0.9496177},"labels":[],"label_agreement":null}]}