{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"69aa88dfd1f5","filters":{"venue":"2008 Providence, Rhode Island, June 29 - July 2, 2008"}},"results":[{"id":"W2008879681","doi":"10.13031/2013.24639","title":"A Comparison of Soil Moisture Monitoring Technologies for Irrigation Scheduling","year":2008,"lang":"en","type":"article","venue":"2008 Providence, Rhode Island, June 29 - July 2, 2008","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Irrigation scheduling; Irrigation; Water content; Environmental science; Agricultural engineering; Moisture; Soil moisture sensor; Scheduling (production processes); Low-flow irrigation systems; Computer science; Water conservation; Water resource management; Soil water; Engineering; Soil science; Operations management; Geography; Meteorology; Agronomy","authors":[{"name":"Bano Mehdi","is_ca":false},{"name":"Chandra A. Madramootoo","is_ca":false},{"name":"Apurva Gollamudi","is_ca":false},{"name":"Sajjad Ali","is_ca":false},{"name":"Anne Verhallen","is_ca":false},{"name":"Ian Nichols","is_ca":false},{"name":"Wade Morrison","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05044017353657675,"gpt":0.2911310587271133,"spread":0.2406908851905365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003384533,0.0002674792,0.0004142973,0.00006558778,0.0005795646,0.00007915895,0.000460308,0.0002228771,0.00003349243],"category_scores_gemma":[0.0002196864,0.0001290864,0.0001533214,0.0005265882,0.0001735522,0.0006361565,0.0001281549,0.0002649447,0.00004542635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004698826,"about_ca_system_score_gemma":0.00002967126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004865191,"about_ca_topic_score_gemma":0.0005468813,"domain_scores_codex":[0.9979323,0.00006138637,0.0006268821,0.0004810527,0.0004537654,0.0004446222],"domain_scores_gemma":[0.9987521,0.0002339645,0.0005311029,0.0001623467,0.0002595135,0.000061011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001192031,0.002100548,0.572403,0.000815863,0.0004298203,0.0000707808,0.006979404,0.01147882,0.1532703,0.002473848,0.08499996,0.1637857],"study_design_scores_gemma":[0.003978009,0.003154983,0.2028594,0.001179121,0.0004461636,0.0001513061,0.01515009,0.02566393,0.3398344,0.01597769,0.3883238,0.003281072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886729,0.002008952,0.001347685,0.00332698,0.0007971097,0.001278254,0.00007811214,0.0003939471,0.002096063],"genre_scores_gemma":[0.9919615,0.0003666522,0.004752343,0.00004674085,0.0002976563,0.0001391235,0.00007757378,0.000004421318,0.002353988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3695436,"threshold_uncertainty_score":0.5263991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987792288","doi":"10.13031/2013.24737","title":"Design and Evaluation of a Versatile Woody Biomass Harvester-Baler","year":2008,"lang":"en","type":"article","venue":"2008 Providence, Rhode Island, June 29 - July 2, 2008","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Natural Resources Canada; Université Laval","keywords":"Header; Willow; Biomass (ecology); Combine harvester; Environmental science; Agricultural engineering; Agroforestry; Agronomy; Engineering; Mathematics; Biology; Botany","authors":[{"name":"Frédéric Lavoie","is_ca":false},{"name":"Philippe Savoie","is_ca":false},{"name":"L. D'Amours","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03911718538874005,"gpt":0.2479781007898788,"spread":0.2088609154011387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006079727,0.0003167233,0.0003415153,0.0003642193,0.0001375155,0.00006182555,0.000225166,0.0001559016,0.000193495],"category_scores_gemma":[0.00008420173,0.0003090893,0.00007115946,0.0005587733,0.0001985962,0.0007355642,0.00006573003,0.0001254269,0.0001247035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015799,"about_ca_system_score_gemma":0.0001132817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006230598,"about_ca_topic_score_gemma":0.0002396563,"domain_scores_codex":[0.9977722,0.0001539804,0.0005249032,0.000388569,0.00075879,0.0004016024],"domain_scores_gemma":[0.9990116,0.00007580561,0.0001345567,0.0004213506,0.0002248508,0.0001318173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004544727,0.0007819817,0.02487176,0.001680956,0.0008540374,0.0001950313,0.007513084,0.1069362,0.01969229,0.0009963403,0.8168464,0.01917738],"study_design_scores_gemma":[0.00982797,0.0006687581,0.04771556,0.0005452698,0.0006289188,0.0002895012,0.0003295862,0.7542709,0.03647433,0.001010074,0.1460887,0.002150411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6481207,0.008935869,0.3086361,0.000374513,0.002359441,0.005492111,0.0001215591,0.001050343,0.02490936],"genre_scores_gemma":[0.9896611,0.0008992242,0.005010025,0.00006018033,0.00007268786,0.0001475186,0.00005415921,0.00006121217,0.0040339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6707577,"threshold_uncertainty_score":0.9999361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083768548","doi":"10.13031/2013.25093","title":"Protein and Oil Contents Determination in Wheat Using Near-infrared (NIR) Hyperspectral Imaging","year":2008,"lang":"en","type":"article","venue":"2008 Providence, Rhode Island, June 29 - July 2, 2008","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Partial least squares regression; Hyperspectral imaging; Absorbance; Near-infrared spectroscopy; Materials science; Chemistry; Remote sensing; Mathematics; Chromatography; Optics; Geology","authors":[{"name":"Mahesh Sivakumar","is_ca":false},{"name":"Digvir S. Jayas","is_ca":false},{"name":"Jitendra Paliwal","is_ca":false},{"name":"N. D. G. White","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02425926277982752,"gpt":0.2686702913800802,"spread":0.2444110286002527,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001957368,0.0005075038,0.0006689124,0.000439202,0.0004830198,0.000168374,0.0003767728,0.0002533959,0.0003805329],"category_scores_gemma":[0.0003622348,0.0005090215,0.0001525225,0.0009838103,0.0004386763,0.0008962181,0.0001186319,0.0005968499,0.00005143132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003638517,"about_ca_system_score_gemma":0.0002854244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036418,"about_ca_topic_score_gemma":0.0003111988,"domain_scores_codex":[0.9968728,0.00006371355,0.0007250875,0.0008612956,0.0005970226,0.0008801116],"domain_scores_gemma":[0.9987056,0.0001073239,0.0003051429,0.0004924765,0.0001757461,0.0002137558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009432256,0.001172516,0.3298847,0.001023352,0.00025183,0.002606116,0.00508053,0.0002010429,0.6365677,0.00005961535,0.01088974,0.01131972],"study_design_scores_gemma":[0.01623436,0.0003004342,0.01564087,0.001876857,0.0007516084,0.005355416,0.002721709,0.1329654,0.8051202,0.001260343,0.01283373,0.004939065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824097,0.004737839,0.000552369,0.0002496096,0.0001200993,0.0002438718,0.00004769454,0.0001548702,0.01148393],"genre_scores_gemma":[0.9689661,0.0007332322,0.007803766,0.0001498413,0.000231802,0.00007989715,0.00004031364,0.00007789086,0.02191711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3142438,"threshold_uncertainty_score":0.9997361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979956439","doi":"10.13031/2013.24840","title":"Quantification of Dissolved Nitrous Oxide Loss as Influenced by Tillage","year":2008,"lang":"en","type":"article","venue":"2008 Providence, Rhode Island, June 29 - July 2, 2008","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological 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":"Environmental science; Tillage; Tile drainage; Greenhouse gas; Drainage; Nitrous oxide; Carbon dioxide; Water quality; Soil water; Agronomy; Hydrology (agriculture); Soil science; Chemistry; Ecology; Geology","authors":[{"name":"Jennifer D. Roper","is_ca":false},{"name":"David L. Burton","is_ca":false},{"name":"Ali Madani","is_ca":false},{"name":"Glenn W. Stratton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01501744918918035,"gpt":0.228775873623423,"spread":0.2137584244342426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003387102,0.0004280284,0.0005673469,0.00006477049,0.0004052605,0.00006098369,0.0006956546,0.0003239826,0.0001486353],"category_scores_gemma":[0.0003187515,0.0002152537,0.0002600242,0.0009383264,0.0004818664,0.0004158177,0.0001092733,0.0003248623,0.0003759591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006816298,"about_ca_system_score_gemma":0.00008825776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004090538,"about_ca_topic_score_gemma":0.004234176,"domain_scores_codex":[0.9968098,0.0001755447,0.0008167563,0.0007303355,0.0007762931,0.0006912737],"domain_scores_gemma":[0.9983531,0.0002904605,0.0004826506,0.0003022064,0.0003137573,0.0002578578],"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":[0.0007894654,0.0009331155,0.211458,0.00008212228,0.0001277785,0.0002115997,0.0007844745,0.0001592345,0.7057167,0.0003519168,0.07368642,0.005699179],"study_design_scores_gemma":[0.00463442,0.002647176,0.5531034,0.0004910885,0.0003362637,0.001827885,0.001108972,0.009456743,0.2741588,0.004119053,0.1432444,0.004871818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954086,0.001113243,0.00005641726,0.0005991071,0.0002438681,0.0005680785,0.0002614252,0.0001700332,0.001579209],"genre_scores_gemma":[0.9920492,0.001201561,0.0002656858,0.0003441786,0.0001417632,0.00005963066,0.000311472,0.000008550021,0.005617983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4315579,"threshold_uncertainty_score":0.8777792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}