{"id":"W1516668702","doi":"10.2196/games.4187","title":"Health Behavior Theory in Physical Activity Game Apps: A Content Analysis","year":2015,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rubric; Descriptive statistics; Psychology; Mobile phone; Inclusion (mineral); Sample (material); Physical activity; Applied psychology; Computer science; Social psychology; Statistics; Mathematics; Mathematics education; Medicine; Physical therapy","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":[0.005910679,0.0003755917,0.0005129114,0.006686257,0.0006454142,0.001882803,0.000568577,0.0003337672,0.001627974],"category_scores_gemma":[0.01977347,0.0003033688,0.0008638634,0.004496922,0.001216759,0.001493073,0.001719616,0.0008105757,0.0002387221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002901128,"about_ca_system_score_gemma":0.002977768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120002,"about_ca_topic_score_gemma":0.003024479,"domain_scores_codex":[0.9973047,0.001030232,0.0002915094,0.0002435469,0.001009683,0.0001203176],"domain_scores_gemma":[0.9803577,0.01551285,0.001212337,0.0004479768,0.002294966,0.0001741135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003435528,0.00115463,0.3209387,0.006072625,0.0002489165,0.0006478044,0.1611669,0.001809034,0.006431025,0.01010955,0.00501438,0.4860629],"study_design_scores_gemma":[0.0001126633,0.0007119146,0.8311058,0.006049782,0.0006096266,0.0009685237,0.09300537,0.01625427,0.004686209,0.01061102,0.03576633,0.0001184419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661737,0.000747544,0.01761896,0.000589748,0.00003875599,0.005409031,0.001457794,0.00009023644,0.007874324],"genre_scores_gemma":[0.9115366,0.001613307,0.07544406,0.0002686787,0.00004469876,0.007276057,0.001995766,0.00006550753,0.001755397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006686257,"threshold_uncertainty_score":0.03125906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263300464284129,"score_gpt":0.4832068366260218,"score_spread":0.356876790197609,"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."}}