{"id":"W2549062538","doi":"10.1186/s12888-016-1104-2","title":"Cross-sectional survey evaluating Text4Mood: mobile health program to reduce psychological treatment gap in mental healthcare in Alberta through daily supportive text messages","year":2016,"lang":"en","type":"article","venue":"BMC Psychiatry","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; Alberta Health Services; Health Sciences Centre; University of Alberta","funders":"McMaster University; Alberta Health Services","keywords":"Mental healthcare; Mental health; Cross-sectional study; Health care; Mental health care; Psychology; Psychiatry; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001891406,0.0002079263,0.0002420375,0.0006381661,0.001098467,0.0007555816,0.0006507284,0.0003446772,0.002500653],"category_scores_gemma":[0.003082911,0.0002632022,0.000277174,0.001072557,0.0004223076,0.0003359868,0.0007237259,0.0006542276,0.0002928773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00458068,"about_ca_system_score_gemma":0.008953533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.568225,"about_ca_topic_score_gemma":0.7386594,"domain_scores_codex":[0.9991369,0.0001843989,0.00005232085,0.00005229201,0.0003467773,0.0002275149],"domain_scores_gemma":[0.9975032,0.0004033637,0.0004616478,0.00004328559,0.0007581547,0.0008303386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000469065,0.002364484,0.9576809,0.0002895867,0.00005344212,0.0003489072,0.007098462,0.0001056356,0.001010635,0.00005624913,0.003403203,0.02711931],"study_design_scores_gemma":[0.00003171752,0.0007859386,0.9893448,0.00005025741,0.00002304079,0.00004595902,0.008037793,0.0001696662,0.0001018979,0.000006902086,0.001393835,0.000008287733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976885,0.0000596453,0.00003110194,0.0001750216,0.000006105261,0.0002596265,0.0005346276,0.000007136262,0.001238169],"genre_scores_gemma":[0.99563,0.0004051605,0.0004734305,0.0005298262,0.00001528421,0.0002860254,0.0008909227,0.000005175099,0.001764184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.431775,"threshold_uncertainty_score":0.8686355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846518272886279,"score_gpt":0.5385764365799615,"score_spread":0.3539246092913335,"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."}}