{"id":"W4392443773","doi":"","title":"Digital health technologies and social and geographic inequalities : a comparative sociology of public action","year":2020,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Inequality; Sociology; Public health; Social inequality; Social science; Data science; Medicine; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005167429,0.0002676969,0.0004735651,0.005846412,0.004120404,0.01041106,0.0008307754,0.002260389,0.008893272],"category_scores_gemma":[0.01106529,0.0002565049,0.0003588854,0.00649163,0.02102476,0.01033571,0.005096138,0.001727008,0.0002665241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009040591,"about_ca_system_score_gemma":0.004946319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598685,"about_ca_topic_score_gemma":0.02021026,"domain_scores_codex":[0.9941598,0.004107201,0.0001257786,0.0003393166,0.0007018872,0.0005660622],"domain_scores_gemma":[0.983943,0.01362658,0.0009141343,0.0005862828,0.000524323,0.0004057017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004267031,0.00006477618,0.01000494,0.0004514176,0.00003354397,0.0001868133,0.1116086,0.0003781116,0.0001367194,0.8336424,0.002680737,0.04076924],"study_design_scores_gemma":[0.00004835259,0.0001491833,0.04633799,0.003574603,0.00008633601,0.0005042659,0.3365225,0.001422878,0.0003387298,0.2914088,0.3195352,0.00007111859],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.350747,0.05438535,0.01107007,0.09214745,0.0004791704,0.0001159267,0.0006245932,0.00003023362,0.4904001],"genre_scores_gemma":[0.9829478,0.01108512,0.0008171494,0.0009750038,0.0001619139,0.00007225509,0.00005279,0.00001400766,0.003874024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02598685,"threshold_uncertainty_score":0.06559443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4175847256671435,"score_gpt":0.468524744684921,"score_spread":0.0509400190177775,"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."}}