{"id":"W6904725806","doi":"10.14288/1.0400040","title":"Examining patient’s mobile phone access and planning a virtual care intervention using mHealth and conversation analytics","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Psychological intervention; Mobile phone; Telemedicine; Analytics; Mobile technology; Health care; eHealth; Intervention (counseling)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001979583,0.0003408764,0.0003304601,0.0008684281,0.0008061082,0.0009848614,0.0004613905,0.0004844264,0.004435997],"category_scores_gemma":[0.01132578,0.0001647342,0.0004821939,0.0003625412,0.0002274717,0.0006666261,0.000929889,0.0007618766,0.0007067678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006211575,"about_ca_system_score_gemma":0.001407595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137768,"about_ca_topic_score_gemma":0.006091006,"domain_scores_codex":[0.9985728,0.0007495183,0.0001555173,0.0001258613,0.0001911015,0.0002052296],"domain_scores_gemma":[0.9956481,0.002024375,0.0006414662,0.0001418703,0.0006851372,0.0008590781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001513007,0.00447858,0.551156,0.0009714212,0.0002041699,0.0006969452,0.01832633,0.001521271,0.003572579,0.000418798,0.009830941,0.4073101],"study_design_scores_gemma":[0.0003276518,0.008780085,0.9155357,0.000678707,0.0003580886,0.0006397509,0.03658945,0.01412953,0.00576699,0.001270031,0.015718,0.0002060542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891773,0.0002102126,0.002716319,0.001403169,0.00004121027,0.0007469599,0.0007826878,0.0001850216,0.00473717],"genre_scores_gemma":[0.9925459,0.000209504,0.00504983,0.0002651078,0.00001833061,0.0008237369,0.0002553269,0.000008806101,0.0008234404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004435997,"threshold_uncertainty_score":0.01483983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578511607333328,"score_gpt":0.3371361214423075,"score_spread":0.2792849607089747,"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."}}