{"id":"W2951384271","doi":"10.82308/36361","title":"(Non)parallel evolution in North American post-glacial fishes","year":2017,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; National Science Foundation","keywords":"Parallel evolution; Stickleback; Gasterosteus; Divergence (linguistics); Biology; Parallelism (grammar); Evolutionary biology; Oncorhynchus; Sexual dimorphism; Phenotypic plasticity; Life history theory; Natural selection; Selection (genetic algorithm); Ecology; Zoology; Fish <Actinopterygii>; Phylogenetics; Life history; Computer science; Artificial intelligence; Fishery; Parallel computing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000266832,0.0001029698,0.0001347244,0.0006558944,0.0007294415,0.000477399,0.0001952948,0.0003373468,0.001972074],"category_scores_gemma":[0.0003757433,0.0002129543,0.0002407629,0.0006856926,0.0005585121,0.0002849395,0.0004447677,0.0001989861,0.0002482779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007553581,"about_ca_system_score_gemma":0.0005223159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622014,"about_ca_topic_score_gemma":0.06244741,"domain_scores_codex":[0.9998732,0.00001442458,0.000007964352,0.00006001976,0.00002308468,0.00002132612],"domain_scores_gemma":[0.999669,0.00004912531,0.0001138069,0.00003613551,0.00009052536,0.00004142593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004098933,0.00006969924,0.7325633,0.0001730921,0.0002099636,0.0003994532,0.002644709,0.001755031,0.235966,0.001475132,0.0002393526,0.02409435],"study_design_scores_gemma":[0.000001775855,0.00002672548,0.9988437,0.000002337657,0.00001226629,0.0000434485,0.0002128512,0.0001233891,0.0003531801,0.00009583712,0.0002812365,0.000003248569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990927,0.00006391149,0.00007754443,0.00001445386,0.000001010373,0.000001984643,0.00005242437,0.000002684008,0.0006934194],"genre_scores_gemma":[0.9980018,0.00009920063,0.0002736965,0.00002214842,0.000002049769,0.00001435196,0.0001014641,0.000003887975,0.001481567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9837798,"threshold_uncertainty_score":0.03225148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050553169043315,"score_gpt":0.2713407727274683,"score_spread":0.2408352410370352,"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."}}