{"id":"W2081909888","doi":"10.1139/f03-038","title":"The precision of otolith radiometric ageing of fish and the effect of within-sample heterogeneity","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Otolith; Fish <Actinopterygii>; Ageing; Radiometric dating; Sample (material); Environmental science; Statistics; Mathematics; Geology; Fishery; Biology; Chemistry; Remote sensing","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":[0.04259713,0.0006169769,0.001206585,0.001585169,0.0009616842,0.001405409,0.001246854,0.001309573,0.0006887072],"category_scores_gemma":[0.1296687,0.0007369614,0.001238039,0.001752742,0.001991255,0.001385991,0.00151138,0.000636009,0.0003693135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110688,"about_ca_system_score_gemma":0.000525649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005926179,"about_ca_topic_score_gemma":0.006951177,"domain_scores_codex":[0.9721472,0.01185387,0.003107404,0.007684569,0.00466319,0.0005437705],"domain_scores_gemma":[0.8070653,0.1323982,0.01897989,0.03108473,0.0100073,0.0004644882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004448802,0.0002030934,0.6067324,0.001779472,0.004394071,0.001068311,0.004144134,0.1042478,0.1078237,0.004834649,0.001456184,0.1588674],"study_design_scores_gemma":[0.0001322481,0.001602244,0.8317072,0.0002189752,0.001683827,0.001886809,0.0004212144,0.04920977,0.0992993,0.008934256,0.004622988,0.0002810984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7917559,0.004873309,0.1970438,0.0003279996,0.000276133,0.0002111532,0.001124994,0.0005485843,0.003838065],"genre_scores_gemma":[0.9832344,0.0002333842,0.01532662,0.00008130615,0.00002408857,0.00007210157,0.0004505856,0.0001035828,0.0004737919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04259713,"threshold_uncertainty_score":0.2252778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665778996616032,"score_gpt":0.239525599993114,"score_spread":0.2228678100269536,"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."}}