{"id":"W2904592873","doi":"10.1111/jfb.13869","title":"Standard metabolic rate models for Carmine Shiner (<scp><i>Notropis percobromus</i></scp>) and Common Shiner (<scp><i>Luxilus cornutus</i></scp>) across different temperature regimes","year":2018,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Biology; Sympatric speciation; Notropis; Ecology; Allometry; Zoology; Endangered species; Fishery; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005250721,0.0007912604,0.0005134587,0.0004039721,0.0002792786,0.0004367206,0.001060819,0.0006294133,0.001417107],"category_scores_gemma":[0.001146585,0.0004380815,0.001497564,0.0003339202,0.0002753187,0.0005531234,0.0003048068,0.000452461,0.0004062004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289976,"about_ca_system_score_gemma":0.000589247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01982294,"about_ca_topic_score_gemma":0.02376553,"domain_scores_codex":[0.9998325,0.00004155387,0.00001437399,0.00006556847,0.00002018491,0.00002582738],"domain_scores_gemma":[0.9996095,0.000151883,0.0001213184,0.00003454781,0.00006255366,0.00002018545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000227039,0.00006460572,0.01056829,0.00005996648,0.0001182817,0.00004072472,0.000062983,0.9743619,0.008795123,0.001264118,0.0002570933,0.004179901],"study_design_scores_gemma":[0.00001635137,0.00007354066,0.007835624,0.000003869543,0.00002832094,0.00002869991,0.00001360018,0.9902532,0.0009416289,0.0006128736,0.0001799522,0.00001226318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038448,0.0001420748,0.09107988,0.000103156,0.00001693696,0.0001111474,0.001551094,0.0002758223,0.00287516],"genre_scores_gemma":[0.9856082,0.00008153308,0.01058159,0.0000278909,0.000003659153,0.0002461929,0.001366147,0.00004525112,0.002039597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01982294,"threshold_uncertainty_score":0.03941506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671213344974874,"score_gpt":0.2594674247810992,"score_spread":0.2427552913313505,"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."}}