{"id":"W7133276378","doi":"","title":"Science response: striped bass southern Gulf to 2022","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":"Bass (fish); Recreational fishing; Population; Fisheries management; Indigenous; Stock (firearms)","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":[0.002076933,0.0007685602,0.0005860863,0.001461147,0.003198249,0.003340423,0.001163989,0.008578641,0.1502119],"category_scores_gemma":[0.007860528,0.0003403696,0.000543248,0.0009597427,0.0009611675,0.001084438,0.002449493,0.004376378,0.06751013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004660862,"about_ca_system_score_gemma":0.01269079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05461713,"about_ca_topic_score_gemma":0.1360475,"domain_scores_codex":[0.9977522,0.0001476907,0.0001029298,0.0001570816,0.00143059,0.0004094612],"domain_scores_gemma":[0.9894305,0.0008113668,0.000274798,0.0003407194,0.007436938,0.001705579],"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":[0.00002228037,0.00001022888,0.0001712627,0.00003791379,0.000001106241,0.00006173153,0.00001445034,0.000009000848,0.00008566587,0.0001141116,0.9963922,0.003080048],"study_design_scores_gemma":[0.00001741967,0.0000204331,0.001168326,0.00006587846,0.000002504353,0.00002657206,0.0001239268,0.00002971182,0.0001009817,0.0001487078,0.9982887,0.000006878068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003343961,0.001674355,0.0004491684,0.5201879,0.1355568,0.0007482496,0.01621974,0.002437474,0.3193824],"genre_scores_gemma":[0.009317001,0.002334195,0.0005804814,0.1912361,0.02270385,0.0003709556,0.008134191,0.0003705822,0.7649525],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9453829,"threshold_uncertainty_score":0.502509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036554167663675,"score_gpt":0.2479190816598895,"score_spread":0.2375535399832527,"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."}}