{"id":"W3011004192","doi":"10.1111/jai.14014","title":"The why and how of determining length‐weight relationships of fish from preserved museum specimens","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Ichthyology","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada; Royal British Columbia Museum","funders":"","keywords":"Biology; Fish <Actinopterygii>; China; Context (archaeology); Biodiversity; Fishery; Marine fish; Archaeology; Ecology; Geography; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02858411,0.000941076,0.0009203417,0.002496624,0.001588313,0.00276701,0.001937382,0.001321763,0.001094545],"category_scores_gemma":[0.04394008,0.0009295882,0.0008365964,0.002507488,0.003864889,0.005046326,0.001659051,0.001278018,0.0009075376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561909,"about_ca_system_score_gemma":0.001465605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009129294,"about_ca_topic_score_gemma":0.02899529,"domain_scores_codex":[0.9903669,0.005629054,0.001163295,0.001251803,0.001279853,0.0003090535],"domain_scores_gemma":[0.9659858,0.01431714,0.005886493,0.00757943,0.00529778,0.000933339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001580132,0.00008878524,0.8074112,0.0005557869,0.0003128892,0.0002718186,0.002128106,0.0006603803,0.01003152,0.00172092,0.001043084,0.1756176],"study_design_scores_gemma":[0.00003753621,0.000699573,0.9598417,0.0005518155,0.0003740037,0.002242136,0.00617649,0.006457446,0.008237016,0.005897041,0.009289159,0.0001960418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8467107,0.009292329,0.1211245,0.005678932,0.0005997018,0.0009934444,0.001393991,0.0003810257,0.0138254],"genre_scores_gemma":[0.789313,0.00322771,0.203845,0.0006309151,0.0003386803,0.0004640462,0.000429107,0.0001337399,0.001617812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02858411,"threshold_uncertainty_score":0.151169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551244710450415,"score_gpt":0.1966374059600381,"score_spread":0.151124958855534,"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."}}