{"id":"W4297101656","doi":"10.1101/2022.09.24.509310","title":"Gills, growth, and activity across fishes","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Allometry; Gill; Context (archaeology); Biology; Ecology; Growth rate; Phylogenetic tree; Fish <Actinopterygii>; Fishery; Geometry; Mathematics; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007059405,0.000210979,0.0003186709,0.0009543324,0.0003786137,0.0006060691,0.0003735714,0.0003214847,0.001733251],"category_scores_gemma":[0.001991529,0.0002467678,0.0004333202,0.0007910519,0.00067789,0.0005826328,0.001086654,0.0004638532,0.0001989851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778684,"about_ca_system_score_gemma":0.0002260067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991895,"about_ca_topic_score_gemma":0.008862668,"domain_scores_codex":[0.9996657,0.00005549398,0.00002312365,0.000140159,0.00008043561,0.00003501146],"domain_scores_gemma":[0.9983709,0.0004593027,0.0006049655,0.0001981718,0.0002158798,0.0001507616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002256564,0.00003346836,0.9552307,0.00008610313,0.0005061602,0.00005490525,0.0005169545,0.003152246,0.02921916,0.0006592115,0.0001627088,0.01015265],"study_design_scores_gemma":[0.000001545375,0.00002716301,0.9979367,0.000004300969,0.00002469279,0.00002978395,0.0001083003,0.00120374,0.0002785466,0.0003098859,0.00006944803,0.000005879748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987128,0.0001066383,0.0005458129,0.00003160338,0.000001880507,0.000001787869,0.000171117,0.00001363001,0.0004146176],"genre_scores_gemma":[0.9994159,0.00001915983,0.0002989831,0.000008459437,0.000001687327,0.000002902587,0.0001248097,0.000005504093,0.0001227414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005991895,"threshold_uncertainty_score":0.01191407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073368271568681,"score_gpt":0.2128431303557531,"score_spread":0.2021094476400663,"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."}}