{"id":"W2960791784","doi":"10.1093/icb/icz124","title":"Mitochondrial Ecophysiology: Assessing the Evolutionary Forces That Shape Mitochondrial Variation","year":2019,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Mitochondrial DNA; Subspecies; Evolutionary biology; Killifish; Fundulus; Population; Genome; Nuclear gene; Cline (biology); Adaptation (eye); Genetics; Gene; Ecology","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":[0.001545365,0.0003942495,0.0002618741,0.001407301,0.0006603336,0.0008378081,0.0003544206,0.0006064276,0.0008069236],"category_scores_gemma":[0.00213482,0.0001397991,0.0002225303,0.0007607721,0.0007602438,0.0009985137,0.0007742706,0.0004389127,0.00017059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000489891,"about_ca_system_score_gemma":0.0002358037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002950968,"about_ca_topic_score_gemma":0.006443876,"domain_scores_codex":[0.999459,0.0002123155,0.00003154248,0.0001543346,0.00008132178,0.00006144762],"domain_scores_gemma":[0.9988232,0.0004319949,0.0003263454,0.00008684267,0.0001531275,0.0001784853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001327182,0.0000349834,0.8448326,0.00006520344,0.0001284852,0.0002200216,0.001041882,0.0006093848,0.1371025,0.0004936592,0.00004994461,0.01528863],"study_design_scores_gemma":[0.000002408801,0.0001046774,0.9951966,0.000005629612,0.00002470061,0.0001743582,0.000524638,0.001312391,0.0022155,0.0002563679,0.0001725592,0.0000101341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962804,0.0003342658,0.002714385,0.00003831205,0.000003354829,0.00001084368,0.00005011522,0.000008764929,0.0005596255],"genre_scores_gemma":[0.9981933,0.0001122673,0.001483932,0.00002084557,0.000005240952,0.000008072547,0.00005264841,0.000003709186,0.0001199998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002950968,"threshold_uncertainty_score":0.00817281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760198523185693,"score_gpt":0.3056154850821047,"score_spread":0.2680134998502478,"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."}}