{"id":"W7114765874","doi":"10.15468/xjetde","title":"Incidental catch at British Columbia marine finfish aquaculture sites","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Aquaculture; Fish <Actinopterygii>; Quarter (Canadian coin); Fishing; Terminology; Fish farming","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006900569,0.001505771,0.001033276,0.006687845,0.001626314,0.002380003,0.002162302,0.0008259463,0.06447397],"category_scores_gemma":[0.004775265,0.0007489769,0.0006657817,0.01861435,0.0003610399,0.001033286,0.001393946,0.00135285,0.03526201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009358564,"about_ca_system_score_gemma":0.01478307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9007782,"about_ca_topic_score_gemma":0.9333697,"domain_scores_codex":[0.9986818,0.00006292122,0.0001221613,0.0002793474,0.000552212,0.0003015159],"domain_scores_gemma":[0.9947672,0.0003155209,0.000437797,0.0004329242,0.003619717,0.0004268202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003110971,0.00000956025,0.00307109,0.0003381392,0.0000209884,0.00001634191,0.00002545741,0.0001494331,0.0000373063,0.0002285757,0.9935862,0.002485811],"study_design_scores_gemma":[0.00009588237,0.000009597124,0.06220929,0.0006250485,0.00003201556,0.00003589628,0.0002880225,0.0003511317,0.0002823339,0.0002958324,0.9357253,0.00004958932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001772833,0.00003199755,0.00001068079,0.0000234077,0.000008562061,0.000007572787,0.9983901,0.00005591569,0.001294456],"genre_scores_gemma":[0.001118786,0.0001074691,0.0001127446,0.00002801173,0.000003549042,0.00007405043,0.9952089,0.00003891281,0.003307585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09922177,"threshold_uncertainty_score":0.2156869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016165937281711,"score_gpt":0.2029764922082479,"score_spread":0.1928148328354308,"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."}}