{"id":"W4415288840","doi":"10.1139/cjfas-2025-0049","title":"Parametric estimation and comparison of age-reading error matrices across species, stocks, and calcified structures","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock assessment; Clupea; Herring; Scomber; Parametric statistics; Stock (firearms); Weighting; Observational error; Mackerel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02652134,0.001048567,0.0007374472,0.002260667,0.0006110412,0.002384534,0.001793276,0.001188524,0.002374717],"category_scores_gemma":[0.1497733,0.0005986599,0.001994117,0.001759527,0.002129253,0.002790852,0.002085745,0.001649424,0.0005208339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000795341,"about_ca_system_score_gemma":0.0008245646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618178,"about_ca_topic_score_gemma":0.003402278,"domain_scores_codex":[0.9818441,0.009609632,0.001370845,0.004669228,0.002039168,0.000467041],"domain_scores_gemma":[0.815359,0.1369321,0.01632948,0.0247076,0.006064285,0.0006074735],"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":[0.001000697,0.000367597,0.5327078,0.0005195406,0.002141306,0.00054937,0.002845924,0.1935029,0.01530716,0.01583839,0.002015627,0.2332038],"study_design_scores_gemma":[0.00005136333,0.0006271879,0.3107351,0.000143607,0.0003898906,0.001194241,0.0008977221,0.6384034,0.01160967,0.03317454,0.002457569,0.000315742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3756829,0.0001951076,0.6209368,0.0001197631,0.00003923361,0.0002359787,0.0009580707,0.0005544698,0.001277662],"genre_scores_gemma":[0.9121651,0.00006222074,0.08560253,0.00003442223,0.00001337575,0.00023093,0.00124647,0.0001259471,0.0005188868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02652134,"threshold_uncertainty_score":0.1402599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943103981720157,"score_gpt":0.3147117840860797,"score_spread":0.2752807442688782,"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."}}