{"id":"W4382584858","doi":"10.2196/41204","title":"Key Enablers to Boost Digital Health Solutions in Latin America","year":2023,"lang":"en","type":"article","venue":"Iproceedings","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Digital health; Health care; Sustainability; Business; Key (lock); Knowledge management; Public relations; Economic growth; Marketing; Political science; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058197,0.0004273441,0.0002085287,0.001739176,0.002938973,0.006210429,0.0006000781,0.001065559,0.00525226],"category_scores_gemma":[0.009854279,0.0002130981,0.0004084237,0.002047792,0.003690985,0.003259774,0.006081518,0.00148936,0.0002605881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006312265,"about_ca_system_score_gemma":0.009489002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058132,"about_ca_topic_score_gemma":0.01058705,"domain_scores_codex":[0.9969861,0.001795886,0.0001200674,0.000186161,0.0003397456,0.000572069],"domain_scores_gemma":[0.9955511,0.002417402,0.0005973465,0.0001883715,0.0006988592,0.0005469458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001521555,0.0004134111,0.1163861,0.003352204,0.00009943078,0.003468204,0.4132763,0.000986518,0.007800136,0.2019244,0.01486305,0.2372781],"study_design_scores_gemma":[0.00004902827,0.0001572978,0.05579602,0.003520553,0.00007602038,0.000688103,0.4348283,0.0006238003,0.00124985,0.01775705,0.4851979,0.00005609889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6745378,0.009824898,0.006399167,0.0792556,0.0003174079,0.000549605,0.0003715928,0.0001263688,0.2286175],"genre_scores_gemma":[0.982056,0.004533049,0.003491091,0.00359553,0.00005828868,0.0002218177,0.0001338703,0.00002925736,0.005881081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01058132,"threshold_uncertainty_score":0.0457989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08341381116416319,"score_gpt":0.4177797856779263,"score_spread":0.3343659745137631,"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."}}