{"id":"W2210915947","doi":"10.18357/ijih.102201515042","title":"Formative evaluation to assess communication technology access and health communication preferences of Alaska Native people","year":2015,"lang":"en","type":"article","venue":"International Journal of Indigenous Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"The Internet; Phone; Mobile phone; Schedule; Health care; Internet access; Health Information National Trends Survey; Medicine; Health information technology; Internet privacy; Health information; Family medicine; Medical emergency; Business; World Wide Web; Telecommunications; Computer science; Political science","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":[0.0109549,0.0001807395,0.0006430102,0.001054022,0.0008614131,0.00003025488,0.00128771,0.0001762536,0.00004438899],"category_scores_gemma":[0.0007831594,0.0001644021,0.00004911732,0.0006959955,0.0001042284,0.0007350289,0.0003738028,0.0008788072,0.00001829855],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107219,"about_ca_system_score_gemma":0.01246079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003647316,"about_ca_topic_score_gemma":0.007689917,"domain_scores_codex":[0.9940867,0.001659228,0.002361077,0.0002107123,0.001136197,0.000546031],"domain_scores_gemma":[0.9876259,0.0006009191,0.004395399,0.0004789014,0.006229837,0.0006690283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006038378,0.0008844276,0.2083531,0.0007292556,0.0002507952,8.004346e-7,0.2291824,0.0005671783,0.00001123252,0.02069333,0.01574619,0.5229774],"study_design_scores_gemma":[0.0120156,0.005756781,0.6804146,0.005931801,0.00009690881,0.0001984409,0.1268216,0.00128235,0.0002599193,0.09960971,0.06686984,0.0007423642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821233,0.006630266,0.01283807,0.08645321,0.001124124,0.007738282,0.0001791825,0.00006955123,0.002844016],"genre_scores_gemma":[0.9823818,0.006685918,0.006684271,0.003137274,0.0001135577,0.0008330318,0.0001192915,0.00002068665,0.00002421143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.522235,"threshold_uncertainty_score":0.9931377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2477541916850356,"score_gpt":0.5564040838842527,"score_spread":0.308649892199217,"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."}}