{"id":"W7133279878","doi":"","title":"Science response : 2021 stock status update for Atlantic salmon in NL","year":2023,"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; Fisheries management; Stock assessment; Fish stock; Atlantic hurricane","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":[0.00495505,0.0006369356,0.0004594749,0.002526,0.00147565,0.001930263,0.001637533,0.002796021,0.04690039],"category_scores_gemma":[0.01165317,0.0003661615,0.0007460933,0.001785017,0.0003599293,0.0007370738,0.001903715,0.001544873,0.03797571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005792777,"about_ca_system_score_gemma":0.02415673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4138649,"about_ca_topic_score_gemma":0.4903305,"domain_scores_codex":[0.9945436,0.0004696714,0.0003489896,0.0002879852,0.003595717,0.0007540245],"domain_scores_gemma":[0.9721983,0.001306719,0.001530388,0.0008471511,0.02243313,0.001684361],"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":[0.0000795949,0.00004733969,0.00354197,0.0001483647,0.00001155236,0.00006212919,0.00005058347,0.0001313903,0.0003531037,0.0001579315,0.9809445,0.01447153],"study_design_scores_gemma":[0.00005535239,0.00008429429,0.02517378,0.0001128613,0.00001500287,0.00002751034,0.0002266091,0.0002004065,0.0006398138,0.0001008322,0.9733354,0.000028004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02426903,0.001679495,0.003035057,0.09107459,0.01350573,0.005072416,0.508306,0.007543091,0.3455147],"genre_scores_gemma":[0.04765087,0.001943561,0.009392777,0.06983022,0.002178432,0.003900688,0.4018152,0.001108235,0.46218],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5861351,"threshold_uncertainty_score":0.8229119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150542139368268,"score_gpt":0.2587433786588988,"score_spread":0.2472379572652162,"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."}}