{"id":"W2998684954","doi":"","title":"Technics validation of microbiological quality control in pharmaceutical industries: Study of Colombian challenge","year":2017,"lang":"en","type":"article","venue":"Journal of Sexual & Reproductive Medicine","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Control (management); Business; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01577333,0.0001723368,0.001309868,0.0002081786,0.0003232695,0.000002268187,0.0004796238,0.0003322305,0.0001239506],"category_scores_gemma":[0.01399456,0.0001198545,0.00003898788,0.0001980839,0.0006926316,0.0001875969,0.0001187569,0.001974208,0.000001925926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997095,"about_ca_system_score_gemma":0.000407906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009268373,"about_ca_topic_score_gemma":0.000128252,"domain_scores_codex":[0.9929845,0.002934663,0.002819564,0.0003555147,0.0005880778,0.0003176446],"domain_scores_gemma":[0.9920622,0.001525287,0.003717705,0.0007884841,0.001759979,0.0001463523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006300923,0.004184822,0.8560543,0.001420074,0.00031307,0.00005493458,0.07293422,0.00002655522,0.04507414,0.001107309,0.00103984,0.01148979],"study_design_scores_gemma":[0.01451566,0.01460984,0.7310849,0.001109458,0.0002114932,0.00002061643,0.2341269,0.000007400586,0.001472646,0.001161997,0.001483653,0.0001954217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703694,0.0005130809,0.00006253462,0.02646676,0.001005461,0.001307755,0.00002894648,0.000007882504,0.0002381732],"genre_scores_gemma":[0.9985558,0.0001423725,0.0000389765,0.0001845991,0.0009898606,0.00001583183,0.000003953493,0.00001034198,0.00005824744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611927,"threshold_uncertainty_score":0.994311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4081023452911676,"score_gpt":0.5777895426737079,"score_spread":0.1696871973825402,"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."}}