{"id":"W7133269715","doi":"","title":"White Hake rebuilding plan","year":2024,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Fishing; Fish stock; Hake; Stock assessment; Mortality rate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002837889,0.0003941061,0.0001160077,0.0006969562,0.001238261,0.0006783624,0.0008833997,0.0005589885,0.1144402],"category_scores_gemma":[0.0005246943,0.0001395315,0.0002259439,0.0002528992,0.0001823964,0.0003875147,0.001370164,0.0007820048,0.02134058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009887296,"about_ca_system_score_gemma":0.003485671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03953803,"about_ca_topic_score_gemma":0.1620257,"domain_scores_codex":[0.9997972,0.00001329486,0.000006192173,0.00002363204,0.00007197429,0.00008769355],"domain_scores_gemma":[0.9997526,0.000009153753,0.00001384006,0.00001572952,0.0001018411,0.0001068237],"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":[0.0003271131,0.0005766462,0.02256604,0.0001737195,0.00002060363,0.001817374,0.0006903925,0.002912966,0.002817149,0.01650295,0.4911814,0.4604137],"study_design_scores_gemma":[0.00004187434,0.0002821666,0.03260647,0.0001457398,0.00001247276,0.000495766,0.001176902,0.001079271,0.0009415382,0.001099463,0.9620979,0.0000203994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1255788,0.0008581557,0.003788398,0.003060483,0.0006937803,0.001429569,0.005589616,0.001003724,0.8579975],"genre_scores_gemma":[0.1852269,0.0005788321,0.00492905,0.001205652,0.0000670197,0.0005326241,0.006078183,0.0001629074,0.8012188],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1144402,"threshold_uncertainty_score":0.3828407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085245004610071,"score_gpt":0.238521017206891,"score_spread":0.2276685671607903,"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."}}