{"id":"W1982667497","doi":"10.1002/cjs.11243","title":"Robust state space models for estimating fish stock maturities","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fish stock; Robustness (evolution); Stock (firearms); Inference; Econometrics; Computer science; Statistics; Fishery; Mathematics; Fish <Actinopterygii>; Geography; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01005368,0.001231998,0.001500651,0.002134258,0.000407721,0.001922996,0.002261895,0.001562787,0.003868682],"category_scores_gemma":[0.03598838,0.001003408,0.001816851,0.001731527,0.001315398,0.00252464,0.001622793,0.002520797,0.0007625787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212026,"about_ca_system_score_gemma":0.001615675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02434575,"about_ca_topic_score_gemma":0.01607347,"domain_scores_codex":[0.9974349,0.00137467,0.0001311376,0.0005734533,0.0002865295,0.0001992266],"domain_scores_gemma":[0.9761909,0.01893311,0.002309835,0.001230959,0.001096234,0.0002390389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003554653,0.00001338901,0.001465018,0.00001666177,0.00005967179,0.00001598552,0.00002385591,0.9768239,0.0001010546,0.01664922,0.0002669185,0.004528665],"study_design_scores_gemma":[0.000003242916,0.00000613429,0.0001827992,0.000004637604,0.000005688813,0.000002607501,0.000003019062,0.991768,0.00005290044,0.007848575,0.000116205,0.000006128016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02987672,0.0003222434,0.9677127,0.0002760508,0.00002135784,0.00005483643,0.0006392607,0.0003531491,0.0007437395],"genre_scores_gemma":[0.8271168,0.0006121679,0.164985,0.0001423474,0.00008729613,0.0004266635,0.002591332,0.0001786413,0.00385977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02434575,"threshold_uncertainty_score":0.05316955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05014571600242232,"score_gpt":0.2229700113000744,"score_spread":0.1728242952976521,"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."}}