{"id":"W4235524234","doi":"10.2196/preprints.21187","title":"SCHeLTI Platform: an Intervention Support System Tailored for a Randomized Controlled Trial (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; eHealth; Context (archaeology); Intervention (counseling); Preprint; Randomized controlled trial; Mobile phone; mHealth; Health care; Medicine; Medical education; Computer science; Nursing; World Wide Web","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":[0.04717234,0.001722587,0.002864023,0.002027327,0.001023721,0.00227001,0.001289721,0.002653475,0.115751],"category_scores_gemma":[0.1013198,0.001308048,0.003596222,0.001603737,0.0009112682,0.002907137,0.001924239,0.002542656,0.008267293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263376,"about_ca_system_score_gemma":0.003877024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00049281,"about_ca_topic_score_gemma":0.0008967218,"domain_scores_codex":[0.9610689,0.02962611,0.004880847,0.001974524,0.001758287,0.000691321],"domain_scores_gemma":[0.9459713,0.04238846,0.004082754,0.003166791,0.003171847,0.001218939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.4747262,0.007041993,0.001839408,0.04103361,0.006506618,0.0002861174,0.0008764574,0.003317714,0.005624131,0.007069521,0.159738,0.2919402],"study_design_scores_gemma":[0.8899967,0.02317083,0.005037137,0.004286267,0.00297146,0.00007266573,0.0001535962,0.01056728,0.00293309,0.005424018,0.05513325,0.0002537004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.06070787,0.002503013,0.1009669,0.008683919,0.01658748,0.7367822,0.0345674,0.0211576,0.01804357],"genre_scores_gemma":[0.04361684,0.0004376876,0.1390085,0.002211013,0.000834154,0.8060598,0.002262894,0.0005909075,0.004978202],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.115751,"threshold_uncertainty_score":0.3872256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09541838370559916,"score_gpt":0.4574556839972541,"score_spread":0.3620373002916549,"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."}}