{"id":"W7133286551","doi":"","title":"Updated Northern Madtom RPA","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":"Fisheries and Oceans Canada","keywords":"Habitat; Population; Abundance (ecology); Juvenile; Range (aeronautics); Population density; Age structure","routes":{"ca_aff":false,"ca_fund":true,"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":[0.000345467,0.0004356891,0.0002912523,0.001890584,0.001133688,0.0009621122,0.0007170693,0.0005200308,0.1118093],"category_scores_gemma":[0.0008926934,0.0002235608,0.0001973611,0.0008425717,0.000264502,0.0005838725,0.001303988,0.000601191,0.02572051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563254,"about_ca_system_score_gemma":0.002017446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04426185,"about_ca_topic_score_gemma":0.1299743,"domain_scores_codex":[0.9997502,0.00002788853,0.0000204701,0.00006949214,0.00009214495,0.00003975972],"domain_scores_gemma":[0.9996616,0.00002409822,0.00004287382,0.00003866426,0.0001363003,0.00009650061],"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":[0.0001609592,0.00005239384,0.0188076,0.0007705682,0.00002144353,0.001015661,0.001266379,0.0001709866,0.002687623,0.004263045,0.5827246,0.3880588],"study_design_scores_gemma":[0.000004212732,0.00002021837,0.0253565,0.0001465926,0.000006803496,0.00044648,0.0002950068,0.00004530785,0.0001598381,0.0002123947,0.9733008,0.000005663268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06278683,0.01028679,0.002592571,0.007798594,0.004767876,0.0005113111,0.04125632,0.001993264,0.8680063],"genre_scores_gemma":[0.1622615,0.007559053,0.01331434,0.003605093,0.001656406,0.0008744762,0.04921527,0.0006622568,0.7608516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9557381,"threshold_uncertainty_score":0.3740395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007784114005289515,"score_gpt":0.2322404256039605,"score_spread":0.224456311598671,"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."}}