{"id":"W4312818474","doi":"10.2196/41660","title":"Loss-Framed Adaptive Microcontingency Management for Preventing Prolonged Sedentariness: Development and Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Incentive; Psychological intervention; mHealth; Intervention (counseling); Medicine; Psychology; Demography; Physical therapy; Economics; Nursing; Microeconomics","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":[0.007335948,0.0008902009,0.0008612887,0.0008557453,0.0006571126,0.000827775,0.001755788,0.001312334,0.005394736],"category_scores_gemma":[0.009279702,0.0004929841,0.001439753,0.0003162629,0.0009497848,0.001272112,0.001344233,0.001410792,0.0008332481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009185847,"about_ca_system_score_gemma":0.005963881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221099,"about_ca_topic_score_gemma":0.003367646,"domain_scores_codex":[0.9973691,0.001338246,0.0001804428,0.0002400973,0.0005331761,0.000339014],"domain_scores_gemma":[0.9972475,0.001127645,0.0002883708,0.0001937735,0.0006574235,0.0004851822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02243447,0.3018285,0.03801128,0.01333725,0.00063393,0.0022782,0.004576147,0.001907629,0.0130832,0.002347289,0.008410836,0.5911513],"study_design_scores_gemma":[0.05930972,0.7145719,0.1272485,0.005107825,0.002068083,0.002456395,0.007146876,0.0121872,0.01337114,0.002379109,0.05377551,0.0003777886],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8693038,0.0009353412,0.013308,0.001138705,0.0002387463,0.1083698,0.0008509002,0.0002720605,0.005582483],"genre_scores_gemma":[0.727227,0.002497819,0.1116786,0.001445964,0.0001480494,0.1528195,0.0007394541,0.00005091728,0.003392712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007335948,"threshold_uncertainty_score":0.03879666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109933297493313,"score_gpt":0.4080222236937144,"score_spread":0.2980889262004014,"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."}}