{"id":"W1580606601","doi":"10.15353/joci.v9i2.3162","title":"Overview of ICTs and Health","year":2012,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ICTS; Information and Communications Technology; Social determinants of health; Public health; Commission; Public relations; Economic growth; Health informatics; Political science; Sociology; Medicine; Economics; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.01201375,0.00007680557,0.0003317237,0.00008615806,0.001124832,0.000002146049,0.0003370868,0.00006636753,0.00004267775],"category_scores_gemma":[0.0001904008,0.00004727778,0.00003437207,0.0001710171,0.00008539604,0.0002649468,0.0001473509,0.00149348,0.00001962365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008019286,"about_ca_system_score_gemma":0.0005605039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002979671,"about_ca_topic_score_gemma":0.00005057291,"domain_scores_codex":[0.9964697,0.001336131,0.00161453,0.000004131908,0.0002175855,0.000357876],"domain_scores_gemma":[0.9953991,0.00138776,0.002181417,0.0004129063,0.0002647093,0.0003541282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001247172,0.0004159844,0.03582113,0.01137314,0.00006515632,1.792561e-8,0.7038687,0.00001756088,0.00001045248,0.04002716,0.09238786,0.1158881],"study_design_scores_gemma":[0.00160519,0.000560794,0.1992732,0.001135481,0.00007162759,0.00008341606,0.2583908,0.00005444713,0.00001532173,0.002658412,0.5360388,0.0001125225],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700918,0.009753183,0.001814982,0.009546706,0.0004138413,0.001283926,0.00001889658,0.00001533207,0.007061343],"genre_scores_gemma":[0.9724705,0.0163746,0.0008320273,0.01014829,0.0001091056,0.00002189012,0.00000328307,0.000007018399,0.00003327879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4454779,"threshold_uncertainty_score":0.8651412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2660834207611329,"score_gpt":0.509199718035263,"score_spread":0.24311629727413,"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."}}