{"id":"W3192945832","doi":"10.1139/cjfas-2021-0088","title":"Efficiency is doing things right: high-throughput, automated, 3D methods in the modern era of otolith morphometrics","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Morphometrics; Otolith; Oncorhynchus; Automation; Fishery; Population; Range (aeronautics); Computer science; Fish <Actinopterygii>; Biology; Artificial intelligence; Engineering","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":[0.007637929,0.001142699,0.001191607,0.003663583,0.0008838472,0.004455305,0.002187305,0.001649033,0.004643129],"category_scores_gemma":[0.01358969,0.00130469,0.001120446,0.00359881,0.001859984,0.004166223,0.002972592,0.001818827,0.002906873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217212,"about_ca_system_score_gemma":0.001490974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004003598,"about_ca_topic_score_gemma":0.009517414,"domain_scores_codex":[0.9929014,0.001841418,0.0003725498,0.0009761155,0.00375848,0.0001499212],"domain_scores_gemma":[0.9848934,0.006150334,0.001434842,0.002197028,0.004963425,0.0003608961],"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":[0.0003361961,0.0002467445,0.02737954,0.001288846,0.0004803723,0.0002724581,0.001201801,0.01492233,0.1190694,0.01269854,0.02180535,0.8002985],"study_design_scores_gemma":[0.0002504668,0.0007667515,0.1066982,0.00120341,0.0005846507,0.002686913,0.002877219,0.3568514,0.1463296,0.1178577,0.2622155,0.001678151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02238169,0.005327425,0.9595664,0.002976022,0.0005836836,0.000164511,0.0009291068,0.004032205,0.004039042],"genre_scores_gemma":[0.05197894,0.002422196,0.940952,0.0007283858,0.0002818364,0.0002602163,0.0005846173,0.0007929449,0.001998833],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007637929,"threshold_uncertainty_score":0.04039371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262838827352261,"score_gpt":0.2843101391652051,"score_spread":0.2616817508916825,"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."}}