{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"594b1fcf9195","filters":{"venue":"Instrumentation viewpoint"}},"results":[{"id":"W2581412323","doi":"10.5821/iwp.2016.19.14865","title":"5 year-long monitoring of Barkley Canyon cold-seeps with the internet operated deep-sea crawler \"Wally\"","year":2016,"lang":"en","type":"article","venue":"Instrumentation viewpoint","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Canyon; Oceanography; Chemosynthesis; Environmental science; Petroleum seep; Megafauna; Deep sea; Remote sensing; Geology; Methane; Hydrothermal vent; Ecology; Paleontology; Geomorphology","authors":[{"name":"Damianos Chatzievangelou","is_ca":false},{"name":"L. Thomsen","is_ca":false},{"name":"Autun Purser","is_ca":false},{"name":"C. Doya","is_ca":false},{"name":"Jacopo Aguzzi","is_ca":false},{"name":"Jacob Schwendner","is_ca":false},{"name":"Alexander Duda","is_ca":false},{"name":"Mairi Best","is_ca":false},{"name":"Fabio De Leo","is_ca":false},{"name":"S. Kim Juniper","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009835521861974702,"gpt":0.2223815843533564,"spread":0.2125460624913817,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002314921,0.0004492546,0.0003648573,0.001074386,0.0005475602,0.0004009658,0.0003889964,0.0003303309,0.0007613759],"category_scores_gemma":[0.0002166312,0.0001898546,0.0002652296,0.0006891291,0.0001952768,0.0002492261,0.0005903392,0.0004131977,0.0004094685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000549425,"about_ca_system_score_gemma":0.0005838917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0398431,"about_ca_topic_score_gemma":0.1768637,"domain_scores_codex":[0.9998158,0.000006200952,0.000005780529,0.00005983692,0.00007997137,0.00003255636],"domain_scores_gemma":[0.9997311,0.00001294424,0.00003664245,0.00001929502,0.0001241746,0.00007584344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000438593,0.0004382234,0.6704212,0.0003180382,0.0002568323,0.001368535,0.001550705,0.004899338,0.2407144,0.0002188685,0.008550621,0.07082473],"study_design_scores_gemma":[0.00001324767,0.0001572164,0.9788446,0.00002485873,0.00004273327,0.0001191908,0.0003962092,0.004191979,0.01104369,0.00002610818,0.005117602,0.00002265525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911788,0.0001411881,0.001142675,0.0000347332,0.00001933989,0.0000591458,0.005071613,0.0002647164,0.002087717],"genre_scores_gemma":[0.9721644,0.0002616651,0.01068034,0.00008312332,0.00002404841,0.0001611123,0.01381412,0.00007382911,0.002737306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0398431,"threshold_uncertainty_score":0.07922232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2940044694","doi":"10.5821/iwp.2018.20.14849","title":"Deep sea spy: a collaborative annotation tool","year":2018,"lang":"en","type":"article","venue":"Instrumentation viewpoint","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Annotation; Oceanography; Geography; Computer science; Geology; Artificial intelligence","authors":[{"name":"Marjolaine Matabos","is_ca":false},{"name":"Catherine Borremans","is_ca":false},{"name":"P. Bossard","is_ca":false},{"name":"Julie Tourolle","is_ca":false},{"name":"Jozée Sarrazin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01146442124517238,"gpt":0.2534684713405156,"spread":0.2420040500953432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008487132,0.002740543,0.00130328,0.01031429,0.002812138,0.003058898,0.003044931,0.00204932,0.02317482],"category_scores_gemma":[0.0221615,0.0009424579,0.001560018,0.005491925,0.0008179741,0.006542413,0.01084798,0.00184046,0.01393557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009398359,"about_ca_system_score_gemma":0.00217545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004583248,"about_ca_topic_score_gemma":0.01036438,"domain_scores_codex":[0.9937506,0.001593741,0.0007998092,0.00197339,0.001590789,0.0002917313],"domain_scores_gemma":[0.9824652,0.007759019,0.001098555,0.004428469,0.003122054,0.001126768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001252012,0.0005037524,0.009108579,0.003025488,0.0003308683,0.002608566,0.01826867,0.005839595,0.03517873,0.01465451,0.3367725,0.5724567],"study_design_scores_gemma":[0.0001668032,0.0002475692,0.01275837,0.0006560327,0.000165301,0.0009824652,0.005847332,0.08702374,0.01823131,0.02917464,0.8443264,0.0004200333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02037486,0.0005989545,0.7629101,0.001041996,0.0008743403,0.00158286,0.04754359,0.1405266,0.02454676],"genre_scores_gemma":[0.0871047,0.000507729,0.7620898,0.0004499345,0.0004367724,0.004018855,0.09177313,0.02041895,0.03320022],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02317482,"threshold_uncertainty_score":0.07752752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143752572","doi":"10.5821/iwp.2013.15.15337","title":"Preliminary results on automated video-imaging for the study of behavioural rhythms of tubeworms from the tempo-mini ecological module (neptune, canada)","year":2013,"lang":"en","type":"article","venue":"Instrumentation viewpoint","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Automation; Hough transform; Fauna; Rhythm; Focus (optics); Computer science; Computer vision; Artificial intelligence; Identification (biology); Remote sensing; Ecology; Real-time computing; Geography; Biology; Engineering; Image (mathematics); Acoustics; Physics","authors":[{"name":"Michaël Aron","is_ca":false},{"name":"D. Cuvelier","is_ca":false},{"name":"Jacopo Aguzzi","is_ca":false},{"name":"Corrado Costa","is_ca":false},{"name":"C. Doya","is_ca":false},{"name":"Jozée Sarrazin","is_ca":false},{"name":"Pierre‐Marie Sarradin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02812372003955442,"gpt":0.2246093880355665,"spread":0.1964856679960121,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001294709,0.0007269165,0.0003270202,0.001323624,0.0006867907,0.0004627818,0.000984112,0.0004498958,0.004365573],"category_scores_gemma":[0.001218391,0.0002629341,0.0004062165,0.00104436,0.0004299384,0.0003293153,0.0005113863,0.0003584114,0.0009107687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308202,"about_ca_system_score_gemma":0.002388038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1107023,"about_ca_topic_score_gemma":0.2452045,"domain_scores_codex":[0.9992144,0.00009971646,0.00002702118,0.0001327086,0.0004207655,0.0001054266],"domain_scores_gemma":[0.9983916,0.0002730837,0.00006150488,0.0001690303,0.000924061,0.000180666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000348222,0.0001680523,0.01460375,0.0003475916,0.00006808099,0.0001720122,0.0003579144,0.001902901,0.8549114,0.0004120056,0.001473643,0.1252345],"study_design_scores_gemma":[0.00009386738,0.0009949008,0.420867,0.0001159247,0.0002074178,0.001313146,0.0002941372,0.02576133,0.5106418,0.0002804766,0.03931011,0.0001198786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6238494,0.001910008,0.3496879,0.0003156304,0.0001085328,0.002062118,0.007953543,0.003278888,0.01083404],"genre_scores_gemma":[0.3301535,0.00125308,0.6426709,0.0001369793,0.00004325448,0.0009567925,0.01150251,0.0004950206,0.01278802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8892977,"threshold_uncertainty_score":0.2201158,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1485350351","doi":"10.5821/iwp.2009.7.15755","title":"Advancing the interoperability of ocean sensors. Workshop demostration at ocean innovation 2008 congress.","year":2009,"lang":"en","type":"article","venue":"Instrumentation viewpoint","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Interoperability; Geospatial analysis; Sensor web; Computer science; Wireless sensor network; Systems engineering; Telecommunications; World Wide Web; Engineering; Computer network; Remote sensing; Geography; Key distribution in wireless sensor networks","authors":[{"name":"Joaquín del Río Fernández","is_ca":false},{"name":"Daniel Mihai Toma","is_ca":false},{"name":"Antonio Manuel Lázaro","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02753889117332499,"gpt":0.2764250170124971,"spread":0.2488861258391721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006111834,0.0008141618,0.0005961186,0.001217548,0.0005503548,0.002628578,0.001627954,0.001955463,0.02237117],"category_scores_gemma":[0.00484366,0.0005998897,0.0004654737,0.001135308,0.0009404693,0.00696011,0.003671243,0.002219029,0.007996164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091279,"about_ca_system_score_gemma":0.001767563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003351981,"about_ca_topic_score_gemma":0.004330357,"domain_scores_codex":[0.9984851,0.000380153,0.0001363155,0.0001760933,0.0005775578,0.0002448124],"domain_scores_gemma":[0.9980873,0.0005011796,0.00007713524,0.0003840309,0.0006661959,0.0002841629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002897966,0.0002142331,0.002735549,0.0004039582,0.00004862962,0.0001999149,0.0008540089,0.002253043,0.008490836,0.04978968,0.1924953,0.7422251],"study_design_scores_gemma":[0.00002982179,0.0001589702,0.003273316,0.0005286754,0.00003222199,0.0002730466,0.0008429313,0.006571063,0.01162748,0.0317751,0.9448522,0.00003511383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05135625,0.07582726,0.5543645,0.06217194,0.01150074,0.0007381867,0.003259248,0.005959431,0.2348223],"genre_scores_gemma":[0.2185505,0.057419,0.3243486,0.004108881,0.002114459,0.0006996171,0.01577616,0.00255456,0.3744283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02237117,"threshold_uncertainty_score":0.07483906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7163517151","doi":"10.5821/iwp.2009.8.15657","title":"Evaluation of MBari puck protocol for interoperable ocean observatories","year":2010,"lang":"en","type":"article","venue":"Instrumentation viewpoint","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Interoperability; Protocol (science); Geospatial analysis; Observatory; Communications protocol; Data integration; Virtual observatory","authors":[{"name":"Joaquín del Río Fernández","is_ca":false},{"name":"Tom O’Reilly","is_ca":false},{"name":"Kent Headley","is_ca":false},{"name":"Duane Edgington","is_ca":false},{"name":"Daniel Toma","is_ca":false},{"name":"Jesper Zedlitz","is_ca":false},{"name":"Frank Johnson","is_ca":false},{"name":"Greg Johnson","is_ca":false},{"name":"Eric Davis","is_ca":false},{"name":"Klaus Schleisiek","is_ca":false},{"name":"Cater Neil","is_ca":false},{"name":"Reo Phillips","is_ca":false},{"name":"Eric Delory","is_ca":false},{"name":"Christoph Waldmann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07308799328852843,"gpt":0.3271338525091051,"spread":0.2540458592205767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03815435,0.001218471,0.001035506,0.003385965,0.002273532,0.003802696,0.00426292,0.001750275,0.004245593],"category_scores_gemma":[0.08154079,0.0005395948,0.0005051979,0.002685644,0.001992342,0.007332688,0.003526665,0.003009226,0.001185709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00629922,"about_ca_system_score_gemma":0.006387367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01795092,"about_ca_topic_score_gemma":0.006806726,"domain_scores_codex":[0.9562656,0.01427369,0.003623066,0.001820873,0.02136012,0.002656657],"domain_scores_gemma":[0.9424388,0.01447151,0.002850434,0.009157944,0.02876444,0.002316886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01350269,0.009060885,0.07121726,0.004461688,0.0006410535,0.002535247,0.006409539,0.1174443,0.1356129,0.1210972,0.07261311,0.4454042],"study_design_scores_gemma":[0.001567657,0.01278192,0.03955178,0.001587922,0.0006815866,0.001404621,0.007588695,0.560594,0.2308505,0.01592602,0.1268957,0.0005696955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7199435,0.00164627,0.1784144,0.002822762,0.0009255578,0.01428932,0.005891061,0.01748939,0.05857781],"genre_scores_gemma":[0.8398067,0.0007864688,0.1296318,0.000786062,0.00008573247,0.005447607,0.01460285,0.001607075,0.007245671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03815435,"threshold_uncertainty_score":0.2017819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7163535149","doi":"10.5821/iwp.2021.21.14787","title":"Tele-operated ecological monitoring at the seafloor observatory (OBSEA)","year":2021,"lang":"en","type":"article","venue":"Instrumentation viewpoint","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Observatory; Transect; Environmental monitoring; Creatures; Satellite; Remotely operated vehicle; Citizen science; Suite","authors":[{"name":"Ahmad Falahzadeh","is_ca":false},{"name":"Jacopo Aguzzi","is_ca":false},{"name":"Marc Nogueras Cervera","is_ca":false},{"name":"Daniel Toma","is_ca":false},{"name":"Matias Carandell Widmer","is_ca":false},{"name":"Marco Francescangeli","is_ca":false},{"name":"Laurenz Thomsen","is_ca":false},{"name":"Joaquín del Río Fernández","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02341341041947199,"gpt":0.2516425235266553,"spread":0.2282291131071834,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007159236,0.0005833964,0.0002633207,0.001289457,0.0004167425,0.0005922226,0.000664301,0.0004736895,0.004500939],"category_scores_gemma":[0.0004592013,0.0001413841,0.0002189616,0.001290369,0.0002847429,0.0007401825,0.00140787,0.0003842983,0.001546382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006172754,"about_ca_system_score_gemma":0.00142551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01927361,"about_ca_topic_score_gemma":0.03059254,"domain_scores_codex":[0.9993468,0.00005562923,0.00002101467,0.0002056889,0.0002836013,0.00008729325],"domain_scores_gemma":[0.9993912,0.00004545952,0.00007995417,0.00009660746,0.0002824438,0.0001043568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008519606,0.0002693643,0.1502429,0.0006011815,0.0001020427,0.0003684491,0.0009271956,0.00473234,0.1236669,0.002605992,0.04034835,0.6752833],"study_design_scores_gemma":[0.0002841565,0.001419039,0.4691886,0.0003310323,0.0001802519,0.0006216723,0.0009226984,0.02788388,0.05267169,0.0009623579,0.4454009,0.0001337587],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5875469,0.002977784,0.2256564,0.0008073873,0.0007312762,0.001968197,0.07038177,0.007401302,0.102529],"genre_scores_gemma":[0.6968937,0.001057482,0.2179307,0.0002499312,0.0002399457,0.001031566,0.03984054,0.0003104483,0.0424458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01927361,"threshold_uncertainty_score":0.03832287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}