{"id":"W7133282468","doi":"","title":"Science Response : Pacific Herring status in 2023 and forecast for 2024","year":2022,"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 assessment; Herring; Stock (firearms); Fisheries management; Pacific herring; Fish stock; Clupeidae; Productivity","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":[0.004228057,0.0007652336,0.0006518749,0.001178655,0.001924266,0.002733473,0.001621523,0.007189937,0.03549892],"category_scores_gemma":[0.01656446,0.0004339201,0.0006619144,0.001306897,0.00118504,0.001538795,0.003044556,0.0084104,0.01333094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005023905,"about_ca_system_score_gemma":0.01583223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09186791,"about_ca_topic_score_gemma":0.1403337,"domain_scores_codex":[0.9978194,0.0003087036,0.0001330983,0.0002131988,0.001205344,0.0003202848],"domain_scores_gemma":[0.985238,0.00235016,0.0007933587,0.0005585912,0.008935413,0.002124414],"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":[0.00006416704,0.00001489742,0.001143227,0.00010844,0.000009003763,0.00009372138,0.00005796744,0.0001375092,0.0001568256,0.0003672265,0.9878131,0.010034],"study_design_scores_gemma":[0.00006116861,0.00004565555,0.003684341,0.0001740656,0.00001746798,0.00003925502,0.0003446722,0.0005199357,0.0002102809,0.001404928,0.9934691,0.00002905222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005411384,0.002076275,0.001979525,0.7902349,0.0757326,0.000439635,0.04426472,0.002061152,0.07779981],"genre_scores_gemma":[0.06608454,0.008404247,0.009935646,0.5360161,0.05050251,0.001468755,0.06245764,0.0009279681,0.2642025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9081321,"threshold_uncertainty_score":0.1826664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109829177128754,"score_gpt":0.2457265684765041,"score_spread":0.2346282767052166,"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."}}