{"id":"W6964112531","doi":"10.25345/c5cz32880","title":"MassIVE MSV000090235 - Mycobacterium smegmatis respiratory Complex I","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Mycobacterium smegmatis; Mycobacterium tuberculosis; Bacteria; Mutation","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008070754,0.001371691,0.00156609,0.001107613,0.0006708982,0.0002998961,0.002618785,0.0006383982,0.6403582],"category_scores_gemma":[0.0004635507,0.001529624,0.0005249458,0.001062196,0.0004521229,0.0002903269,0.00213091,0.002184344,0.04341367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339545,"about_ca_system_score_gemma":0.0005671796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005516217,"about_ca_topic_score_gemma":0.001635126,"domain_scores_codex":[0.9925019,0.001212136,0.001278039,0.001719566,0.001868733,0.001419628],"domain_scores_gemma":[0.9937065,0.000391737,0.001368855,0.003803969,0.0002050903,0.0005238432],"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":[0.0001496094,0.0002566264,0.00005884855,0.0003452441,0.0003659273,0.001006331,0.00006080956,0.00001054005,0.0008167258,0.00004952474,0.9966759,0.0002039209],"study_design_scores_gemma":[0.0009596095,0.0003094825,0.002558833,0.0001005941,0.0003845562,0.00003779362,0.0001308544,0.000004079756,0.00003425128,0.000119765,0.9937587,0.001601496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002277943,0.0007451494,0.00000148341,0.00004274673,0.002174574,0.001128933,0.9925035,0.0005474,0.002628455],"genre_scores_gemma":[0.00005380805,0.00003701281,0.00009899915,0.002054925,0.001074892,0.0005505909,0.9950511,0.0004905057,0.0005881095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5969446,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413196896469317,"score_gpt":0.2943035978692554,"score_spread":0.2501716289045622,"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."}}