{"id":"W3012380118","doi":"10.1002/tax.12176","title":"IAPT chromosome data 31","year":2019,"lang":"en","type":"article","venue":"Taxon","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000806522,0.001538773,0.001737827,0.006506369,0.00128718,0.002566873,0.001886447,0.001187309,0.6770297],"category_scores_gemma":[0.003878555,0.0008163981,0.0006827358,0.008103314,0.0003109744,0.001209515,0.001890489,0.001299027,0.5644094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077779,"about_ca_system_score_gemma":0.001985744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019289,"about_ca_topic_score_gemma":0.01206116,"domain_scores_codex":[0.9991743,0.00007258637,0.0001429585,0.000216306,0.0002939897,0.00009991321],"domain_scores_gemma":[0.9976967,0.000424022,0.0001909991,0.0005852,0.0007521653,0.0003508618],"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":[0.0003499595,0.00004150108,0.001065969,0.001076562,0.00002399391,0.000111687,0.00005958281,0.0001751791,0.002163273,0.001365467,0.9565074,0.03705934],"study_design_scores_gemma":[0.00009084075,0.00002599952,0.005884489,0.0001717039,0.00002139254,0.0001305757,0.00003774353,0.0001396521,0.001067675,0.0007635266,0.9916482,0.00001824399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004351889,0.000154875,0.0006585425,0.0001641246,0.000126015,0.00004951652,0.9648213,0.001662437,0.03192791],"genre_scores_gemma":[0.001945756,0.0001657832,0.001195892,0.00005426036,0.00003612472,0.0001030927,0.977515,0.0004501438,0.01853379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6770297,"threshold_uncertainty_score":0.4606779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615081410156082,"score_gpt":0.272444169044943,"score_spread":0.2462933549433822,"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."}}