{"id":"W6948713548","doi":"10.5061/dryad.8b5n18p","title":"Data from: Environmental stress does not increase the mean strength of selection","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Traditional Chinese Medicine Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Intuition; Genetic Fitness; Genetic variation; Genetic load; Group selection; Natural selection","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":[0.001639785,0.001354215,0.001278427,0.003109248,0.0006728974,0.001953471,0.001909782,0.001766592,0.05476436],"category_scores_gemma":[0.01380522,0.0004256317,0.001322401,0.005550304,0.0005446196,0.001287291,0.001772534,0.001348913,0.03607905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299981,"about_ca_system_score_gemma":0.002918099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414365,"about_ca_topic_score_gemma":0.02490081,"domain_scores_codex":[0.9987283,0.0002286763,0.0003328742,0.0003073912,0.0002386472,0.0001640668],"domain_scores_gemma":[0.9959369,0.001484289,0.0007542805,0.0007284487,0.0008538238,0.0002423116],"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":[0.0003672767,0.00004518815,0.008608151,0.008463996,0.0002638204,0.00008747154,0.0001611037,0.0005223679,0.0004630074,0.001307806,0.9708552,0.008854594],"study_design_scores_gemma":[0.0005848057,0.00003201524,0.01917996,0.001193957,0.00015317,0.0001063474,0.0001538381,0.0003314966,0.0005487546,0.001623379,0.9760436,0.00004861189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004151386,0.0001637784,0.00008639154,0.0001864636,0.0000357966,0.00002208189,0.9983011,0.0001542789,0.0006350373],"genre_scores_gemma":[0.002029163,0.0002389741,0.000539501,0.0001814866,0.00001825262,0.000282853,0.9959055,0.00006283492,0.0007415045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05476436,"threshold_uncertainty_score":0.183205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198914649965222,"score_gpt":0.2679077627476241,"score_spread":0.2459186162479719,"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."}}