{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656323,0.0002714932,0.0009540541,0.0004089455,0.0003209261,0.00001167047,0.0002664842,0.0002095305,0.00009792442],"category_scores_gemma":[0.0001503709,0.000237961,0.00017979,0.001283457,0.00009998192,0.0001378544,0.0001173124,0.0009578402,0.0003725823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007989481,"about_ca_system_score_gemma":0.00190054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003328181,"about_ca_topic_score_gemma":0.004253915,"domain_scores_codex":[0.9957356,0.001369509,0.0007166085,0.0005891517,0.0003880904,0.001201031],"domain_scores_gemma":[0.9969029,0.0004249041,0.000517652,0.0007965666,0.000190205,0.001167717],"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":[0.0008745774,0.003401841,0.2677096,0.00067707,0.0001370419,0.00001851951,0.01959223,0.00005132634,0.0001233686,0.009706578,0.01461315,0.6830947],"study_design_scores_gemma":[0.002270535,0.0003084809,0.8979784,0.0001126477,0.0001085499,0.000002519168,0.004013955,0.0006372451,0.000009894327,0.0009302402,0.09334259,0.0002849899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839155,0.0006418801,0.0005321893,0.005403121,0.000308474,0.00728169,0.00008788583,0.0002461804,0.001583091],"genre_scores_gemma":[0.9611083,0.0001760037,0.0001522572,0.002606484,0.0002844359,0.03355788,0.00005432584,0.00003797241,0.002022379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6828097,"threshold_uncertainty_score":0.9703768,"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."}}