{"id":"W6886883715","doi":"10.15454/hnxeod/d54bfz","title":"VR2AR-546341.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":[0.001710564,0.004471779,0.002368612,0.004812284,0.001226027,0.004602517,0.004360442,0.003860977,0.180308],"category_scores_gemma":[0.009009834,0.001342364,0.00230231,0.008095472,0.0007458146,0.002913962,0.00270243,0.0026691,0.3072756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075811,"about_ca_system_score_gemma":0.002670636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04095467,"about_ca_topic_score_gemma":0.047905,"domain_scores_codex":[0.9978986,0.0004167628,0.000192362,0.0006742103,0.0004890623,0.0003290479],"domain_scores_gemma":[0.9962386,0.001160523,0.000235629,0.00117255,0.0008632203,0.000329394],"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":[0.00003776355,0.00001009612,0.0001028841,0.0002327986,0.00001691884,0.000008019188,0.00001031718,0.0001440089,0.00005512514,0.0002544994,0.9983494,0.0007781008],"study_design_scores_gemma":[0.0002763701,0.00002041374,0.00109297,0.0001527471,0.00002150677,0.00003945505,0.0000571303,0.0004979058,0.0003330841,0.001160696,0.9963152,0.00003271085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005791408,0.00005138939,0.00006294763,0.00007330906,0.00003442861,0.000006879045,0.9976757,0.00123645,0.0008009224],"genre_scores_gemma":[0.0001779872,0.00003676586,0.0001942169,0.00004439993,0.000009777949,0.00002861415,0.9985368,0.0002904728,0.0006809415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.819692,"threshold_uncertainty_score":0.6031902,"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."}}