{"id":"W2782822570","doi":"10.2196/mental.8634","title":"Technology-Assisted Behavioral Intervention to Extend Sleep Duration: Development and Design of the Sleep Bunny Mobile App","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Sleep and related disorders","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Northwestern University","keywords":"Actigraphy; Sleep (system call); Psychological intervention; Activity tracker; Intervention (counseling); Physical therapy; Duration (music); Sleep diary; Psychology; Medicine; Wearable computer; Computer science; Insomnia; Psychiatry; Physical activity","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":[0.003726043,0.0008229822,0.0004667742,0.0006226253,0.000685969,0.0008166559,0.001536936,0.0009628315,0.002549673],"category_scores_gemma":[0.003551534,0.0004749883,0.0007117629,0.0001918957,0.0006442985,0.001137623,0.001420624,0.0009418085,0.0004174166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466693,"about_ca_system_score_gemma":0.002678373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005838458,"about_ca_topic_score_gemma":0.001201739,"domain_scores_codex":[0.9980249,0.001045392,0.0001787709,0.0002351998,0.0003119109,0.0002037594],"domain_scores_gemma":[0.9990112,0.0004499564,0.00007940055,0.00005498311,0.0002219279,0.0001825077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003410158,0.02082429,0.01785498,0.009112923,0.0002802899,0.002276548,0.01375978,0.004908528,0.05996409,0.006924487,0.007118701,0.8535652],"study_design_scores_gemma":[0.01898416,0.2393041,0.1403386,0.008358558,0.003389799,0.007617544,0.02136196,0.1084072,0.1424453,0.01902762,0.2897184,0.001046781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6050647,0.001236698,0.2755912,0.001910809,0.0004604439,0.1044781,0.0004368857,0.00171175,0.009109445],"genre_scores_gemma":[0.2755019,0.0009941786,0.6544135,0.0006431108,0.00006287685,0.06421364,0.0002362621,0.00009972495,0.00383479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003726043,"threshold_uncertainty_score":0.01970541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457951767241744,"score_gpt":0.3558986240549158,"score_spread":0.3313191063824984,"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."}}