{"id":"W2994597879","doi":"10.1101/868927","title":"Evaluating the consequences of common assumptions in run reconstructions on Pacific-salmon biological status assessments","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Asia Pacific Foundation of Canada; University of Calgary","funders":"Pacific Salmon Foundation","keywords":"Threatened species; Abundance (ecology); Ecology; Environmental science; Fishery; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1163924,0.0007484726,0.000769978,0.00149613,0.001581453,0.004158745,0.001950455,0.00205702,0.001377042],"category_scores_gemma":[0.3482561,0.0009244803,0.0015168,0.001287539,0.002743639,0.003788125,0.003162683,0.002408661,0.000254433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00497804,"about_ca_system_score_gemma":0.001899782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01297725,"about_ca_topic_score_gemma":0.01239123,"domain_scores_codex":[0.9620004,0.02447984,0.003045354,0.005510911,0.003913751,0.001049704],"domain_scores_gemma":[0.5627703,0.3560877,0.0401606,0.02584716,0.013209,0.001925174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009659126,0.0001151235,0.555465,0.0002300694,0.001367486,0.0003622911,0.001612639,0.4016169,0.001744431,0.01372055,0.001208314,0.02159132],"study_design_scores_gemma":[0.00009155763,0.0003635476,0.1250032,0.0005918543,0.0005548193,0.0004851354,0.001287445,0.8372408,0.006721818,0.02507709,0.002422284,0.000160613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927372,0.0003009218,0.06870262,0.0007363708,0.00007992113,0.0001040274,0.0006795894,0.0002048206,0.001819539],"genre_scores_gemma":[0.9851027,0.00006030143,0.01384688,0.0001874788,0.00001749004,0.00006364887,0.0005231406,0.00006098212,0.0001374712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1163924,"threshold_uncertainty_score":0.6155491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05747279140667781,"score_gpt":0.3096544985930162,"score_spread":0.2521817071863384,"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."}}