{"id":"W3106193346","doi":"10.2196/22996","title":"An Artificial Intelligence–Based, Personalized Smartphone App to Improve Childhood Immunization Coverage and Timelines Among Children in Pakistan: Protocol for a Randomized Controlled Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Psychological intervention; mHealth; Vaccination; Randomized controlled trial; Family medicine; Intervention (counseling); Immunization; Pediatrics; 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":[0.007169378,0.0002822828,0.001179085,0.0003139355,0.0007206171,0.0007190776,0.0005589161,0.0002256508,0.0003709225],"category_scores_gemma":[0.003178949,0.0002326308,0.0002657642,0.0009817937,0.000193028,0.0004921521,0.0001006255,0.0004702406,0.00001926078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234794,"about_ca_system_score_gemma":0.0009390909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003116734,"about_ca_topic_score_gemma":0.0004227196,"domain_scores_codex":[0.9935542,0.002873403,0.001087702,0.0007131184,0.0009899136,0.0007816302],"domain_scores_gemma":[0.9971662,0.001186227,0.0002546742,0.0003130161,0.0006023324,0.0004775165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.976564,0.001170012,0.000530082,0.0001199957,0.00004052838,0.000004597985,0.009565338,0.00003985878,0.000490426,0.003066068,0.0004724172,0.007936685],"study_design_scores_gemma":[0.9823544,0.003566715,0.0004355286,0.0004266169,0.00001028514,1.712464e-7,0.0008967944,0.003260857,0.0006882116,0.004007434,0.003943815,0.000409183],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01052164,0.000002673309,0.004966839,0.002608286,0.00001055408,0.9814692,0.0000228124,0.000102769,0.0002952214],"genre_scores_gemma":[0.02574081,8.042471e-7,0.0005296959,0.000265768,0.000962198,0.9722931,0.00002290584,0.00004265328,0.0001420153],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.01521917,"threshold_uncertainty_score":0.9486408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08756575085208596,"score_gpt":0.5002279953498332,"score_spread":0.4126622444977472,"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."}}