{"id":"W6905510682","doi":"10.15454/hnxeod/y75foz","title":"VR2AR-546338.txt","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Ocean Tracking Network","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001712906,0.004453195,0.002333576,0.00473458,0.001195559,0.004505036,0.004404901,0.003749796,0.1804083],"category_scores_gemma":[0.008826327,0.001334177,0.002308076,0.007952235,0.0007404347,0.002896123,0.00269461,0.002663518,0.3064209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002050648,"about_ca_system_score_gemma":0.002608804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04180154,"about_ca_topic_score_gemma":0.04875833,"domain_scores_codex":[0.9979225,0.0004097869,0.000188093,0.000669563,0.0004834903,0.0003266904],"domain_scores_gemma":[0.9962844,0.00112307,0.0002336375,0.00117573,0.0008535762,0.0003296206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003643302,0.000009848738,0.0001016649,0.000222723,0.00001667001,0.000007714382,0.000009945882,0.0001443069,0.00005278303,0.0002440621,0.9983845,0.0007693572],"study_design_scores_gemma":[0.0002777724,0.00002023013,0.001111926,0.0001485736,0.00002128331,0.0000387408,0.00005719877,0.0005091671,0.0003332687,0.001156049,0.9962932,0.00003254103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005721123,0.00004908764,0.00006324304,0.00007205988,0.00003424217,0.000006898053,0.9976666,0.001258958,0.0007917144],"genre_scores_gemma":[0.0001791742,0.00003520408,0.0001946581,0.00004341178,0.000009827802,0.00002877771,0.9985346,0.0002960083,0.0006784023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8195917,"threshold_uncertainty_score":0.6035259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5534134553383777,"score_gpt":0.4553897591362248,"score_spread":0.0980236962021529,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}