{"id":"W7063885185","doi":"","title":"Adaptation in natural populations: Integrating phenotypic and genetic perspectives","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Smithsonian Tropical Research Institute; McGill University; Smithsonian Institution","keywords":"Adaptation (eye); Natural (archaeology); Natural selection; Phenotype; Population","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":[0.002000622,0.0004784058,0.0006178666,0.0005593563,0.0004166198,0.001349122,0.0004871041,0.0008108758,0.002057625],"category_scores_gemma":[0.004207145,0.000306508,0.0004298167,0.000649936,0.001393484,0.001249069,0.0009796801,0.001208421,0.0001627608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005815199,"about_ca_system_score_gemma":0.0003418729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002653693,"about_ca_topic_score_gemma":0.003725593,"domain_scores_codex":[0.9990337,0.0005501304,0.00003258951,0.0001948628,0.000140279,0.00004838793],"domain_scores_gemma":[0.9981284,0.001222936,0.0002282308,0.0002095654,0.00008811995,0.0001227723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001280794,0.002426916,0.3980782,0.0005692766,0.001523467,0.0005370827,0.004162883,0.06296475,0.2324787,0.02079904,0.001242928,0.2739359],"study_design_scores_gemma":[0.00008079207,0.001809256,0.8846068,0.00007623721,0.0003380472,0.0003059841,0.00212973,0.07733377,0.004429593,0.02668712,0.002047206,0.0001554572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920421,0.0002079985,0.004778584,0.0003008358,0.00001043363,0.00002142456,0.00009016275,0.00003177728,0.002516535],"genre_scores_gemma":[0.9937296,0.0002477383,0.005099533,0.0002461968,0.00001471238,0.00004164115,0.00007674582,0.00002560255,0.0005182558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002653693,"threshold_uncertainty_score":0.01058036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975765677033801,"score_gpt":0.2486473665133631,"score_spread":0.2288897097430251,"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."}}