{"id":"W2033947171","doi":"10.2196/ijmr.2368","title":"Designing Consumer Health Technologies for the Treatment of Patients With Depression: A Health Practitioner's Perspective","year":2014,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Depression (economics); Health technology; Emerging technologies; Medicine; Psychology; Health care; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01323777,0.0004119887,0.0003026599,0.0007339914,0.001475977,0.002883114,0.0009354419,0.00383134,0.002002996],"category_scores_gemma":[0.01312456,0.0003283288,0.0003138417,0.0005285937,0.002051088,0.002382111,0.001813639,0.001853877,0.0003735901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131717,"about_ca_system_score_gemma":0.003139375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139333,"about_ca_topic_score_gemma":0.002205391,"domain_scores_codex":[0.9880592,0.009605972,0.0004108067,0.0002933763,0.001172154,0.000458385],"domain_scores_gemma":[0.9844231,0.01229015,0.0006966601,0.0002023854,0.001764929,0.0006228022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003531944,0.002279551,0.05523036,0.008887779,0.0001816874,0.007682264,0.3022234,0.002445949,0.01470694,0.03001911,0.041412,0.5345777],"study_design_scores_gemma":[0.0003222085,0.004121646,0.02513885,0.007257287,0.0003608232,0.00979405,0.4844252,0.005209166,0.005969181,0.02007532,0.4371508,0.0001755026],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4525319,0.06266488,0.08857238,0.3149221,0.001068415,0.001727566,0.0001456457,0.0002778289,0.07808924],"genre_scores_gemma":[0.8287131,0.04011963,0.08725262,0.0364616,0.0004967832,0.0004213089,0.00006508173,0.00003595299,0.006433931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01323777,"threshold_uncertainty_score":0.07000887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115361669121073,"score_gpt":0.5450030601269678,"score_spread":0.4296413910058947,"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."}}