{"id":"W2914366432","doi":"10.1656/045.026.0105","title":"Looking for Striped Bass in Atlantic Canada: The Reconciliation of Local, Scientific, and Historical Knowledge","year":2019,"lang":"en","type":"article","venue":"Northeastern Naturalist","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Acadia University; Canadian Forest Service","funders":"","keywords":"Bass (fish); Fishery; Geography; Wildlife; Bay; Nova scotia; Fishing; Cape; Endangered species; Ecology; Archaeology; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002904016,0.00006427721,0.0001153321,0.00002182641,0.0001135392,0.00001010365,0.0001218682,0.00003093056,0.00008479946],"category_scores_gemma":[0.00003207257,0.0000461731,0.00001704008,0.0001184628,0.0001158323,0.00007331548,0.0001070139,0.00007019546,0.00001163538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152521,"about_ca_system_score_gemma":0.00002471089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1214115,"about_ca_topic_score_gemma":0.9698547,"domain_scores_codex":[0.9993781,0.00003033313,0.0001479833,0.000194949,0.0001078786,0.0001407732],"domain_scores_gemma":[0.9996578,0.0001236342,0.00006762619,0.0001209183,0.00001285838,0.00001712484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002620344,0.0000197734,0.9856288,0.00003954294,0.000007885511,5.992165e-7,0.000202796,0.00009143737,0.00003762933,0.0001246165,0.01167094,0.002149756],"study_design_scores_gemma":[0.0004584116,0.00002582284,0.9332258,0.00001569023,0.00001372736,8.221871e-7,0.0002522643,0.003159407,0.00002860531,0.00007181347,0.06265853,0.00008915669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956605,0.00009561748,0.00005860852,0.001198451,0.0005808079,0.0003428693,0.000004031777,0.0000042152,0.002054843],"genre_scores_gemma":[0.9953409,0.000004516791,0.00001784219,0.0001220967,0.00000973716,0.00001186177,0.000006419039,0.000003286883,0.004483368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8484432,"threshold_uncertainty_score":0.8844391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167060455329977,"score_gpt":0.2057129325669755,"score_spread":0.1940423280136757,"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."}}