{"id":"W6886808141","doi":"10.15454/hnxeod/oc7hyf","title":"VR2W-129963.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":[0.001772536,0.004914849,0.002384636,0.005309918,0.00125217,0.004716928,0.004697842,0.004097851,0.1966496],"category_scores_gemma":[0.009915799,0.001383633,0.002406278,0.009396712,0.0008148309,0.003067981,0.003135202,0.002801497,0.3031592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002097512,"about_ca_system_score_gemma":0.0028186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04044302,"about_ca_topic_score_gemma":0.04692202,"domain_scores_codex":[0.9977607,0.0004325122,0.0002228245,0.000693584,0.0005363552,0.0003541373],"domain_scores_gemma":[0.9959999,0.001232625,0.0002548444,0.001288442,0.0008565371,0.0003676713],"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":[0.00004181492,0.00001116158,0.00009963453,0.0002680504,0.00001762433,0.000009775911,0.0000118495,0.0001453096,0.0000614843,0.0002641666,0.9982516,0.0008174485],"study_design_scores_gemma":[0.0003244288,0.00002180693,0.001051356,0.0001636445,0.00002206768,0.00004448574,0.00006934167,0.0005366279,0.0003701315,0.001356464,0.9960037,0.00003585732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005616733,0.00004166505,0.00006049252,0.00006961053,0.00003202419,0.000007475662,0.9977652,0.001205732,0.000761604],"genre_scores_gemma":[0.000160891,0.00002922248,0.0001762983,0.00003904319,0.000008361385,0.00003000971,0.9986511,0.000296616,0.0006084532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8033504,"threshold_uncertainty_score":0.6578583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.546973554562729,"score_gpt":0.455610842948894,"score_spread":0.09136271161383497,"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."}}