{"id":"W4313880232","doi":"10.1093/evolut/qpac040","title":"On the predictability of phenotypic divergence in geographic isolation","year":2022,"lang":"en","type":"article","venue":"Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Biology; Biological dispersal; Ecology; Trait; Divergence (linguistics); Genetic divergence; Evolutionary biology; Genetic diversity","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":[0.00215286,0.000250879,0.000404447,0.0008118493,0.0004456724,0.001046413,0.0004471937,0.0006516504,0.00152358],"category_scores_gemma":[0.008665059,0.0002615322,0.0004022071,0.0006323044,0.001921707,0.0009139703,0.001008546,0.0007948732,0.000285223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721842,"about_ca_system_score_gemma":0.0002152591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259242,"about_ca_topic_score_gemma":0.002032528,"domain_scores_codex":[0.998836,0.0004492846,0.00007258408,0.0003721501,0.0001233988,0.0001466404],"domain_scores_gemma":[0.9900429,0.005870137,0.002290572,0.00103807,0.0002532791,0.0005050082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001883445,0.00003834707,0.981235,0.00002468395,0.000266138,0.0002318448,0.0004448552,0.003770521,0.005565307,0.0009644799,0.0001313231,0.007139272],"study_design_scores_gemma":[0.000007509504,0.00005895011,0.9932301,0.000004409918,0.00002483726,0.0001463998,0.0002141295,0.00470002,0.0002369512,0.001263863,0.00009849443,0.00001444934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984894,0.00007532903,0.0006644569,0.00006082601,0.000003453858,0.000002607542,0.00005485857,0.00001087087,0.0006382455],"genre_scores_gemma":[0.9997784,0.00001519944,0.00007576714,0.00001412262,0.000005105079,0.000002652072,0.00005726201,0.000004488299,0.00004697262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00215286,"threshold_uncertainty_score":0.01138556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243858368694001,"score_gpt":0.182145258817373,"score_spread":0.1577594219479728,"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."}}