{"id":"W2808652089","doi":"10.3390/genes9060298","title":"Varied Genomic Responses to Maladaptive Gene Flow and Their Evidence","year":2018,"lang":"en","type":"article","venue":"Genes","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Biology; Local adaptation; Genome; Locus (genetics); Genetics; Gene flow; Allele; Adaptation (eye); Genomics; Gene density; Gene; Evolutionary biology; Genome evolution; Genetic variation; Population","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":[0.004504626,0.0005005548,0.0006869265,0.002128994,0.00082746,0.00248622,0.002080184,0.001671462,0.003246051],"category_scores_gemma":[0.01191109,0.0003333325,0.0004459883,0.002273891,0.005114474,0.003012346,0.003358852,0.002264669,0.0004578459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000797711,"about_ca_system_score_gemma":0.0003558982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008501443,"about_ca_topic_score_gemma":0.0008955358,"domain_scores_codex":[0.9961503,0.0009516455,0.0002535605,0.001595215,0.0007357237,0.000313621],"domain_scores_gemma":[0.9887007,0.005684884,0.001769117,0.001913995,0.001273678,0.0006576409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003079934,0.0002140064,0.4754984,0.003222271,0.001954947,0.00314556,0.01112681,0.004272934,0.2065337,0.07146194,0.002434472,0.217055],"study_design_scores_gemma":[0.00005393172,0.0003326339,0.8786227,0.0004439259,0.0005093846,0.002583587,0.005859769,0.00319708,0.02207442,0.05592236,0.03020165,0.0001985513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928863,0.02246547,0.02148172,0.005431796,0.0002722942,0.00004120656,0.0009847638,0.0001498943,0.02030982],"genre_scores_gemma":[0.9893668,0.003752984,0.003139945,0.002055576,0.0001548456,0.00003062607,0.0005769136,0.00005931194,0.0008629714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004504626,"threshold_uncertainty_score":0.02382302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082242719876963,"score_gpt":0.2476028375123799,"score_spread":0.2167804103136103,"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."}}