{"id":"W2095169448","doi":"10.2196/resprot.4099","title":"Development of a Fully Automated, Web-Based, Tailored Intervention Promoting Regular Physical Activity Among Insufficiently Active Adults With Type 2 Diabetes: Integrating the I-Change Model, Self-Determination Theory, and Motivational Interviewing Components","year":2015,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Physical Activity and Health","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières","funders":"Fonds de Recherche du Québec - Santé; Universiteit Maastricht","keywords":"Motivational interviewing; Physical activity; Intervention (counseling); Type 2 diabetes; Behavior change; Psychology; Self-management; Intervention mapping; Self-efficacy; Applied psychology; Health promotion; Medicine; Computer science; Diabetes mellitus; Physical therapy; Social psychology; Nursing; Public health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002651514,0.0001977113,0.000407185,0.0002065831,0.0002606729,0.00006046927,0.0001794507,0.00008139371,0.000002145156],"category_scores_gemma":[0.0005053523,0.0001254043,0.00005910228,0.0005335153,0.0002705511,0.000518303,0.0002023277,0.000680841,0.000002446124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003787823,"about_ca_system_score_gemma":0.0004807278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001674867,"about_ca_topic_score_gemma":0.0000222999,"domain_scores_codex":[0.9969034,0.0009783363,0.0002970667,0.0003771372,0.001042859,0.0004012271],"domain_scores_gemma":[0.997927,0.0003659371,0.0003053253,0.0002509028,0.0009562135,0.0001946426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.04722329,0.07976951,0.02828392,0.1100131,0.0007583232,0.00004190041,0.2862542,0.0002437886,0.1667698,0.002699276,0.0001625857,0.2777803],"study_design_scores_gemma":[0.00448255,0.004369623,0.02998213,0.03046156,0.00001783594,0.000002287627,0.001333388,0.8997424,0.02908547,0.0003041041,0.00003610503,0.0001825361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813307,0.000001999771,0.0003897354,0.0001400345,0.000003389334,0.1179522,0.000004813287,0.0001200489,0.00005705438],"genre_scores_gemma":[0.7862177,8.188429e-8,0.001057969,0.0000137215,0.00004172189,0.2126198,0.0000205217,0.00002126571,0.000007192185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8994986,"threshold_uncertainty_score":0.511384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2368366109847418,"score_gpt":0.4780745460188126,"score_spread":0.2412379350340708,"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."}}