{"id":"W6931952577","doi":"10.5683/sp2/94iivp","title":"Supplemental data for \"The origins and evolutionary history of feral apples in Southern Ontario\"","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Population; Malus; Population genetics; Life history; Phylogenetics; Life history theory","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007162208,0.0007555475,0.0007729237,0.002160376,0.001301994,0.001286269,0.001713616,0.0007798329,0.06690224],"category_scores_gemma":[0.005627855,0.0005121281,0.000745696,0.00589619,0.0003677091,0.000429962,0.001207546,0.0006532089,0.01507578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005328491,"about_ca_system_score_gemma":0.0103945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8303455,"about_ca_topic_score_gemma":0.932499,"domain_scores_codex":[0.9995603,0.00004029313,0.00004965255,0.00009593984,0.0001321507,0.0001216024],"domain_scores_gemma":[0.9966093,0.0007564429,0.0004886576,0.0004098656,0.001345824,0.0003899387],"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":[0.000117901,0.00002262518,0.02824993,0.001370832,0.000123415,0.0001013791,0.0003121338,0.0005489035,0.0003147674,0.0007831799,0.963979,0.004075959],"study_design_scores_gemma":[0.0003059253,0.0000137236,0.1379203,0.0006818683,0.0001560183,0.00009000932,0.0003445361,0.0004309524,0.0002850703,0.0006225225,0.8591143,0.00003465783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005698438,0.00004768682,0.00004146063,0.00004601782,0.00000702201,0.00000776333,0.9986151,0.00004649823,0.0006185982],"genre_scores_gemma":[0.003893997,0.00010192,0.0003477143,0.00004433507,0.00000628862,0.00008869023,0.9932345,0.00004549756,0.002237028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1696545,"threshold_uncertainty_score":0.3413072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476044932409556,"score_gpt":0.2910478147618866,"score_spread":0.243443321520931,"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."}}