{"id":"W3014849329","doi":"10.3389/fsoc.2020.00018","title":"New Machine, Old Cough: Technology and Tuberculosis in Patna","year":2020,"lang":"en","type":"article","venue":"Frontiers in Sociology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Reputation; Government (linguistics); Business; Biomedicine; Work (physics); Public relations; Private sector; GeneXpert MTB/RIF; Health technology; Service provider; Health care; Medicine; Marketing; Tuberculosis; Economic growth; Economics; Engineering; Political science; Service (business); Law","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":[0.000358213,0.0001898898,0.0008436471,0.0005001042,0.00003368171,0.000003039637,0.0001611203,0.0006296193,0.0001088625],"category_scores_gemma":[0.001183402,0.000171704,0.0000667225,0.0005418285,0.0006590468,0.00004875152,0.0001398769,0.0009971908,0.0000324464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130775,"about_ca_system_score_gemma":0.0001228648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004025158,"about_ca_topic_score_gemma":0.0000776267,"domain_scores_codex":[0.9980834,0.0002425808,0.0004096416,0.0005218467,0.00009527263,0.0006472703],"domain_scores_gemma":[0.9992595,0.000141393,0.00005192913,0.0002112198,0.00002560263,0.0003104109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002896765,0.00003708086,0.903583,0.00004522718,0.00006759029,0.0001525195,0.001199081,0.000006908348,0.0004946407,0.001617057,0.07546787,0.01703935],"study_design_scores_gemma":[0.01165428,0.002298428,0.8395452,0.0001069675,0.00009715105,0.0002069592,0.005679167,0.01136641,0.000332352,0.04235282,0.08566516,0.0006950948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807659,0.01154463,0.002004374,0.1762962,0.0002808876,0.0004475754,0.00001172289,0.0000912638,0.001664371],"genre_scores_gemma":[0.9693315,0.003305072,0.01524518,0.01149206,0.0001957633,0.00004681189,0.0000367932,0.00002886499,0.0003179464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1648041,"threshold_uncertainty_score":0.7001886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860289700912719,"score_gpt":0.2959948586576598,"score_spread":0.2773919616485326,"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."}}