{"id":"W6905692137","doi":"10.15454/hnxeod/dxry1s","title":"VR2AR-546358.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":[0.001652602,0.0043818,0.00229656,0.004651729,0.00117602,0.004440305,0.004322393,0.003725091,0.1741356],"category_scores_gemma":[0.008681168,0.001299194,0.002272896,0.007757148,0.0007354817,0.002836565,0.002593351,0.002640442,0.2993559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025168,"about_ca_system_score_gemma":0.002593129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04206538,"about_ca_topic_score_gemma":0.04941652,"domain_scores_codex":[0.9979913,0.0003964058,0.0001822094,0.0006496112,0.0004663729,0.0003140796],"domain_scores_gemma":[0.9963819,0.001104409,0.0002274916,0.001129757,0.0008378393,0.0003185828],"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":[0.00003681229,0.00001008905,0.0001050847,0.0002235396,0.00001684421,0.000007927554,0.00000994173,0.0001485814,0.00005433587,0.0002459252,0.9983619,0.0007790193],"study_design_scores_gemma":[0.0002838078,0.00002063249,0.001141346,0.0001524822,0.00002194039,0.00003957626,0.00005843829,0.0005316989,0.0003424877,0.001178886,0.9961958,0.00003289977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005973973,0.00005035346,0.00006380529,0.00007290796,0.00003479879,0.000006894862,0.997675,0.001243349,0.0007931387],"genre_scores_gemma":[0.0001818343,0.00003525782,0.0001939722,0.00004290718,0.000009720899,0.00002820362,0.9985502,0.0002842581,0.0006735278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8258644,"threshold_uncertainty_score":0.5825415,"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."}}