{"id":"W6942951480","doi":"10.15454/hnxeod/qdgrzw","title":"VR2AR-546350.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":[0.001672705,0.004591997,0.00238984,0.004708142,0.001216686,0.00457556,0.004481234,0.003850611,0.1806441],"category_scores_gemma":[0.008794858,0.00134255,0.002341669,0.007877344,0.0007605354,0.002974485,0.002692522,0.00269978,0.3111217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205539,"about_ca_system_score_gemma":0.002596534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04158818,"about_ca_topic_score_gemma":0.04938738,"domain_scores_codex":[0.9979664,0.0003961408,0.0001838116,0.0006649756,0.0004687329,0.0003200037],"domain_scores_gemma":[0.9963743,0.001088477,0.0002267113,0.001155563,0.0008267754,0.0003281273],"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":[0.00003696413,0.000009954663,0.00009983018,0.0002273179,0.00001695221,0.00000780226,0.000009721847,0.0001445124,0.00005328055,0.0002389762,0.9983896,0.0007650396],"study_design_scores_gemma":[0.0002971674,0.00002160792,0.001121694,0.0001589558,0.00002328712,0.00004090125,0.00005748664,0.0005565445,0.0003541337,0.00122912,0.9961053,0.00003381906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005824543,0.00005241556,0.00006473118,0.00007377609,0.00003598101,0.000007101283,0.9975598,0.001336606,0.0008113126],"genre_scores_gemma":[0.0001797445,0.00003655059,0.000196313,0.00004458451,0.000009936885,0.00002849085,0.9985455,0.0002942137,0.0006646398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8193559,"threshold_uncertainty_score":0.6043147,"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."}}