{"id":"W6929688901","doi":"10.5061/dryad.h32j9","title":"Data from: Signals of selection in outlier loci in a widely dispersing species across an environmental mosaic","year":2013,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local adaptation; Selection (genetic algorithm); Adaptation (eye); Biological dispersal; Balancing selection; Nonsynonymous substitution; Natural selection; Genetic variation; Directional selection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002185584,0.0007823175,0.0009378394,0.004504226,0.001462674,0.002239073,0.001471875,0.00137875,0.09583208],"category_scores_gemma":[0.006377927,0.000623194,0.0005357359,0.006378688,0.0006795679,0.0009490444,0.00203169,0.001467399,0.03182858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008242308,"about_ca_system_score_gemma":0.002085683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175302,"about_ca_topic_score_gemma":0.03099163,"domain_scores_codex":[0.9983021,0.0001284175,0.0002295693,0.0003837247,0.0007268202,0.0002294167],"domain_scores_gemma":[0.9939774,0.001479244,0.000797408,0.001610163,0.001334757,0.0008009513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003977971,0.000969557,0.149649,0.005317227,0.0008296386,0.001838153,0.002494934,0.001782194,0.09105889,0.003086732,0.6683516,0.07064411],"study_design_scores_gemma":[0.0009065641,0.0002513847,0.523796,0.0005432917,0.0002533655,0.0007258501,0.001124361,0.002082918,0.01418904,0.002745465,0.4532074,0.0001743419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03684169,0.0001970882,0.001927542,0.0008410217,0.000318711,0.0001340062,0.9444301,0.003109488,0.01220043],"genre_scores_gemma":[0.04482796,0.000257834,0.007727598,0.0002654761,0.00007001917,0.0003634079,0.9409906,0.0007805286,0.004716496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09583208,"threshold_uncertainty_score":0.3205903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223056103789569,"score_gpt":0.2958410822962494,"score_spread":0.2536105212583537,"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."}}