{"id":"W3004866997","doi":"10.5539/gjhs.v12n3p20","title":"Adoption of Mobile Phone Messages for Delivery and Newborn Care in Bangladesh","year":2020,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian National University; Australian Government; United States Agency for International Development","keywords":"Medicine; Referral; Mobile phone; Service (business); Nursing; Health care; Phone; Qualitative research; Family medicine; Psychology; Medical education; Business; Marketing; Sociology","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":[0.002673921,0.0002826669,0.0001993809,0.0005585335,0.001010638,0.001245326,0.0004105434,0.0004950131,0.003003563],"category_scores_gemma":[0.008106967,0.0002302519,0.0001107834,0.0008078479,0.0006982027,0.0009006235,0.001100056,0.0006614752,0.0004974939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657488,"about_ca_system_score_gemma":0.001819004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01462665,"about_ca_topic_score_gemma":0.0150691,"domain_scores_codex":[0.9980489,0.001122913,0.0001820987,0.0001251399,0.0003393891,0.0001814573],"domain_scores_gemma":[0.9975719,0.00120835,0.0005415012,0.00008730349,0.0003345332,0.0002565155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002708861,0.000270723,0.224911,0.00160097,0.00002773416,0.005692941,0.4805026,0.0001047035,0.01280056,0.001687327,0.002561293,0.2695693],"study_design_scores_gemma":[0.00005075217,0.001770628,0.3212023,0.002370215,0.00006541426,0.002749743,0.5858785,0.0003141921,0.003337611,0.000550548,0.08158293,0.000127041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840928,0.001353788,0.0003461985,0.002211123,0.00003935134,0.0002173951,0.0001619912,0.00001443976,0.0115629],"genre_scores_gemma":[0.9943981,0.002084458,0.0009018517,0.0003618279,0.00001276572,0.0001488063,0.00005109547,0.000007866285,0.002033231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462665,"threshold_uncertainty_score":0.02908301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028571307398644,"score_gpt":0.3070532252562262,"score_spread":0.2784819178575823,"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."}}