{"id":"W4367841859","doi":"10.1242/jeb.245005","title":"Murray cod waterhole woes","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fish <Actinopterygii>; Fish kill; Fishery; Freshwater fish; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004227867,0.0004637126,0.0002435775,0.0005497094,0.001464968,0.000954995,0.0007270309,0.0004366161,0.02544361],"category_scores_gemma":[0.0009351915,0.0003146428,0.0003749997,0.0003209111,0.0005987058,0.0008548512,0.001581389,0.000777762,0.005010662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187584,"about_ca_system_score_gemma":0.002515993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09754789,"about_ca_topic_score_gemma":0.3114099,"domain_scores_codex":[0.9996062,0.00001171333,0.0000145533,0.0001009834,0.0001950041,0.00007169415],"domain_scores_gemma":[0.9995207,0.00001902491,0.00004514232,0.00003795286,0.0002507647,0.0001264367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002401859,0.000967504,0.2988284,0.0007332967,0.0001290882,0.003013653,0.00643372,0.0004909445,0.07886484,0.007155432,0.2192881,0.3816932],"study_design_scores_gemma":[0.0001182275,0.001433121,0.4987647,0.0004090573,0.0001008282,0.0008577649,0.01225136,0.0007749393,0.01556548,0.0009452305,0.4686174,0.0001618973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6934597,0.0003963232,0.001554722,0.003505459,0.001108086,0.0004559469,0.003270724,0.0005345609,0.2957144],"genre_scores_gemma":[0.5615931,0.0007126527,0.005851785,0.00383495,0.00007317137,0.0005246354,0.004543044,0.0002036355,0.4226631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09754789,"threshold_uncertainty_score":0.1939602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265465188766324,"score_gpt":0.2863836223931635,"score_spread":0.2598371035165311,"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."}}