{"id":"W7133288380","doi":"","title":"Quebec North Shore Herring Stocks Update in 2024","year":2025,"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":"Herring; Shore; Fishing; Stock assessment; Stock (firearms); Fish stock","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":[0.001817049,0.0007784468,0.0004712599,0.004796546,0.002249243,0.002509201,0.00161582,0.001005604,0.05609724],"category_scores_gemma":[0.004432431,0.0003762632,0.0006206399,0.004558963,0.0002896048,0.0008412889,0.001016524,0.001044672,0.01383853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02752921,"about_ca_system_score_gemma":0.05103739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875,"about_ca_topic_score_gemma":0.9927984,"domain_scores_codex":[0.998005,0.00005269277,0.00007024975,0.00009537425,0.001544449,0.0002322737],"domain_scores_gemma":[0.9889312,0.000147154,0.000255832,0.0001933994,0.009821508,0.0006509],"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":[0.00006798952,0.00002588861,0.006156153,0.0001054883,0.00002542161,0.00007893657,0.00007096527,0.0001819142,0.0001922876,0.0005901343,0.9557068,0.03679788],"study_design_scores_gemma":[0.00001670367,0.00001451561,0.03090796,0.0001006082,0.0000181491,0.00003106151,0.00009584844,0.000209117,0.0003024299,0.00008240901,0.9681981,0.00002313638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02158691,0.009190527,0.001240992,0.01468736,0.005896686,0.0007630649,0.6064286,0.002418012,0.3377879],"genre_scores_gemma":[0.06246532,0.006939299,0.006012153,0.007239962,0.0004369123,0.0004474287,0.3067758,0.0005021963,0.609181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05609724,"threshold_uncertainty_score":0.1997393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006694903693112562,"score_gpt":0.2301480172883207,"score_spread":0.2234531135952081,"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."}}