{"id":"W2122152057","doi":"10.2196/mhealth.4047","title":"Adoption and Usage of mHealth Technology on Quality and Experience of Care Provided by Frontline Workers: Observations From Rural India","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Affect (linguistics); Health care; Quality (philosophy); Nursing; Medicine; Medical education; Psychology; Business; Psychological intervention; Economic growth","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001318889,0.0003299398,0.0009807479,0.0003309061,0.0008107077,0.000008114579,0.0001963756,0.0005757558,0.00001693336],"category_scores_gemma":[0.0004020627,0.0003054266,0.00003360445,0.0006329121,0.0003653322,0.0001968446,0.000137161,0.0009167633,0.000005111708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138601,"about_ca_system_score_gemma":0.002329407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007355335,"about_ca_topic_score_gemma":0.001062743,"domain_scores_codex":[0.9951865,0.0007245516,0.002015525,0.0006739878,0.0004323666,0.0009670633],"domain_scores_gemma":[0.9950404,0.000736748,0.001560671,0.0006475631,0.0004804126,0.001534177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001005411,0.0003111159,0.923197,0.006855334,0.00001107646,4.77999e-7,0.01799758,0.00000137859,0.0001074666,0.009901318,0.003832616,0.03677925],"study_design_scores_gemma":[0.004490855,0.001693647,0.9171318,0.000828808,0.00004476547,0.000002226618,0.05813962,0.00009220168,0.00002793759,0.001998005,0.0152559,0.0002942543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763982,0.01011287,0.0002213906,0.007585492,0.0002569066,0.004296747,0.0007602947,0.0001175595,0.0002505802],"genre_scores_gemma":[0.9859808,0.005263881,0.002694238,0.002796143,0.0001460967,0.002660229,0.0003559205,0.0000370326,0.00006564269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04014204,"threshold_uncertainty_score":0.9999398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390730769237597,"score_gpt":0.4771424993042395,"score_spread":0.3380694223804798,"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."}}