{"id":"W4280494142","doi":"10.53350/pjmhs22164197","title":"An Emerging Health Care Trend: Mobile Health","year":2022,"lang":"en","type":"article","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"mHealth; Health care; Business; Health promotion; Promotion (chess); Medicine; Knowledge management; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00271695,0.0003973758,0.0005227368,0.003818167,0.001617604,0.005295283,0.0008763745,0.003809694,0.01431776],"category_scores_gemma":[0.007538213,0.0001745166,0.0005753302,0.006048238,0.002174623,0.01192627,0.002523446,0.00376582,0.002214874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003331361,"about_ca_system_score_gemma":0.003708052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493336,"about_ca_topic_score_gemma":0.00615424,"domain_scores_codex":[0.997918,0.0004993526,0.0001904208,0.0003785451,0.0007540416,0.0002596008],"domain_scores_gemma":[0.9909599,0.004119013,0.001248866,0.0002387931,0.00263425,0.0007992366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001468285,0.0001263886,0.02697835,0.007513296,0.000061676,0.00150969,0.005752604,0.0004097807,0.002634402,0.1560732,0.1598718,0.638922],"study_design_scores_gemma":[0.00001173771,0.0002395346,0.03039978,0.004438793,0.00006320356,0.006866134,0.01628775,0.001343919,0.0005614656,0.02558519,0.9141233,0.00007916397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06066923,0.3926724,0.01686743,0.3891171,0.01399197,0.0002820465,0.00179112,0.0006861078,0.1239226],"genre_scores_gemma":[0.3737443,0.4459152,0.02145538,0.1099191,0.02462284,0.0002566313,0.001780025,0.0001901539,0.02211637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01431776,"threshold_uncertainty_score":0.04789764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05205796852947262,"score_gpt":0.4978030767755449,"score_spread":0.4457451082460723,"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."}}