{"id":"W7133282443","doi":"","title":"Science Response : Atlantic Silverside stock","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); Harbour; Fisheries management; Stock assessment; 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":[0.001610036,0.0006512012,0.0006193978,0.00137672,0.003154601,0.00354015,0.001428852,0.007142813,0.2815244],"category_scores_gemma":[0.009195049,0.0004446624,0.0005075219,0.001310624,0.0007153092,0.001096468,0.001619451,0.004258979,0.1735792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005752169,"about_ca_system_score_gemma":0.01858835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2463553,"about_ca_topic_score_gemma":0.3965262,"domain_scores_codex":[0.9974363,0.0001024197,0.00008456368,0.0001529849,0.001887425,0.0003362968],"domain_scores_gemma":[0.9894375,0.0006002414,0.0002251129,0.0003407708,0.008281672,0.001114738],"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":[0.0000122444,0.000005684782,0.00008985886,0.00001230586,5.850619e-7,0.00001772236,0.000003755817,0.000006570012,0.00003930974,0.0001455466,0.9978756,0.001790838],"study_design_scores_gemma":[0.0000123022,0.000009497112,0.000920461,0.00002930395,0.000001593504,0.000009117671,0.00004751238,0.00002858718,0.00007082079,0.0000853883,0.9987782,0.000007222569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00252089,0.001035054,0.0004272506,0.2230271,0.04121163,0.001225218,0.04454326,0.002552538,0.683457],"genre_scores_gemma":[0.00279167,0.0004644612,0.0003240114,0.04425868,0.001819871,0.0002571901,0.008185386,0.0002694661,0.9416292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7536446,"threshold_uncertainty_score":0.9417931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009959499345126039,"score_gpt":0.2464575696145115,"score_spread":0.2364980702693855,"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."}}