{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008154121,0.00300884,0.002144777,0.003394695,0.0009916943,0.00234471,0.003208521,0.003296625,0.07310367],"category_scores_gemma":[0.005695769,0.0007640254,0.001953996,0.004319454,0.0004700629,0.0009081924,0.001995478,0.001464381,0.06724324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212049,"about_ca_system_score_gemma":0.002525989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03338229,"about_ca_topic_score_gemma":0.05236463,"domain_scores_codex":[0.9990456,0.00015049,0.00007770651,0.0003405223,0.0002001418,0.0001856006],"domain_scores_gemma":[0.9986593,0.0004591467,0.0001098225,0.0003079341,0.0002647934,0.0001991446],"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":[0.0002363281,0.0000246578,0.001367974,0.0007340487,0.00008951664,0.00004680598,0.00001957804,0.0005864073,0.0002070434,0.0003097576,0.9934688,0.002909103],"study_design_scores_gemma":[0.001176193,0.0000795075,0.008713353,0.0006877924,0.0002421457,0.0002524501,0.0001093489,0.00243674,0.0009783581,0.003072654,0.9821885,0.00006287947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004070347,0.0002715791,0.00009253559,0.0001051767,0.00004881387,0.00001119605,0.9973647,0.0008036823,0.0008953257],"genre_scores_gemma":[0.0009628278,0.0001065377,0.0003074646,0.00009343503,0.00001371196,0.00004245121,0.9977889,0.0001089259,0.0005756895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07310367,"threshold_uncertainty_score":0.2445561,"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."}}