{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000573786,0.00005020234,0.00004701102,0.000008910509,0.00002021287,0.00001125171,0.0002629219,0.00004778578,0.0001714015],"category_scores_gemma":[0.000008462471,0.00004568499,0.00001720518,0.00003161646,0.00001485917,0.000002764449,0.0001175584,0.00002943395,0.0003188121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004931835,"about_ca_system_score_gemma":0.00003843609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001508965,"about_ca_topic_score_gemma":0.000007475153,"domain_scores_codex":[0.9995652,0.000007847208,0.00006154716,0.0002226188,0.00004973838,0.0000929959],"domain_scores_gemma":[0.9990637,0.00000154506,0.00002607029,0.0008650812,0.00001773782,0.00002591129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001321857,0.0000255748,0.001603659,0.000008071701,0.00001765423,4.33241e-7,0.000004505294,0.00001433797,0.9391283,0.0002094305,0.05185414,0.007120615],"study_design_scores_gemma":[0.0001840218,0.00005221072,0.00206543,0.000003622846,0.000004696528,0.000002909284,0.00001287922,0.000120802,0.04657741,0.00001652449,0.9508728,0.00008671541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772195,0.00100225,0.0004664006,0.0001902784,0.0001903748,0.0001294524,0.00006001189,0.000009717934,0.02073204],"genre_scores_gemma":[0.9884095,0.0001751111,0.000323412,0.0001914406,0.0001870156,0.000009490804,0.0004675938,0.000007906516,0.01022854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8990186,"threshold_uncertainty_score":0.409779,"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."}}