{"id":"W4304891944","doi":"10.1139/cjfas-2021-0270","title":"Fish length back-calculation from scales: advancing methodology and correction of bias","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fish migration; Statistics; Scale (ratio); Population dynamics of fisheries; Fish <Actinopterygii>; Computer science; Fishery; Econometrics; Mathematics; Biology; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03636962,0.002273142,0.001372066,0.003819027,0.001118206,0.003046279,0.00401989,0.001506222,0.002693857],"category_scores_gemma":[0.1585363,0.001502158,0.001614447,0.003617757,0.001725718,0.003235262,0.004337287,0.003043895,0.001925742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393954,"about_ca_system_score_gemma":0.002944043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008582816,"about_ca_topic_score_gemma":0.01000487,"domain_scores_codex":[0.9861411,0.006460973,0.001127821,0.002347796,0.003644502,0.0002778205],"domain_scores_gemma":[0.8960033,0.05198419,0.01000847,0.01822714,0.023143,0.0006338166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002269354,0.0001641081,0.05809703,0.001300837,0.0007212844,0.0002433473,0.003229976,0.05428962,0.02334103,0.0232974,0.005952459,0.829136],"study_design_scores_gemma":[0.0001378851,0.0004780961,0.04287526,0.0008343699,0.0003418117,0.0006463915,0.0007469592,0.8002752,0.06026088,0.05821184,0.03470019,0.0004909976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008566984,0.0002745388,0.9891658,0.0001618849,0.0001298839,0.0001018366,0.00008806652,0.001056522,0.0004544322],"genre_scores_gemma":[0.04631035,0.000256367,0.9518387,0.0001199952,0.00006273546,0.0002106677,0.0001126442,0.000597185,0.0004912184],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03636962,"threshold_uncertainty_score":0.1923432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0428944791561922,"score_gpt":0.2433277549649757,"score_spread":0.2004332758087835,"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."}}