{"id":"W7133269408","doi":"","title":"Atlantic cod Southern Gulf of St. Lawrence","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":"Fisheries and Oceans Canada","keywords":"Stock (firearms); Climate change; Ecosystem; Marine ecosystem; Predation; Atlantic cod","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002567583,0.0002242651,0.0001933967,0.001223952,0.001327947,0.0007781687,0.0005014206,0.0002153858,0.0166957],"category_scores_gemma":[0.0006570313,0.0001426014,0.0001516749,0.001299654,0.0002380017,0.0003011709,0.0005189194,0.0002394934,0.005134598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004356014,"about_ca_system_score_gemma":0.007261162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.861281,"about_ca_topic_score_gemma":0.9519571,"domain_scores_codex":[0.9997351,0.000006552954,0.00001516964,0.00004274531,0.0001345765,0.00006600098],"domain_scores_gemma":[0.9992062,0.0000137683,0.00005930209,0.00002322403,0.0006342367,0.00006316974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003888668,0.0001009871,0.5766715,0.0003453661,0.00007960312,0.0003012214,0.0008826043,0.0005493511,0.002912592,0.003716112,0.2489022,0.1651495],"study_design_scores_gemma":[0.00003768527,0.00006455128,0.7031236,0.0002738965,0.00004496344,0.000128474,0.001493869,0.0005927557,0.001172558,0.0003528145,0.2926775,0.00003723315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4452445,0.001302674,0.0009617219,0.001483856,0.0003313943,0.0002189145,0.1409181,0.0008096502,0.4087292],"genre_scores_gemma":[0.5795507,0.00211219,0.002957107,0.0007411137,0.0000532938,0.0001950488,0.09468704,0.0001540784,0.3195495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.138719,"threshold_uncertainty_score":0.2790717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009703922526309371,"score_gpt":0.2345198505136753,"score_spread":0.2248159279873659,"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."}}