{"id":"W2962808436","doi":"10.2196/12768","title":"Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Activity tracker; BitTorrent tracker; Content analysis; Computer science; Physical activity; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Eye tracking","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":[0.0004699272,0.000195136,0.000914051,0.0004860789,0.00008292582,0.00001369805,0.0000653159,0.0001795893,0.00006276245],"category_scores_gemma":[0.00001273198,0.0001651294,0.00009262603,0.001124097,0.00006298393,0.0002011728,0.00002946981,0.0005211181,0.00002640356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409053,"about_ca_system_score_gemma":0.0003269369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003149253,"about_ca_topic_score_gemma":0.0008698831,"domain_scores_codex":[0.9981214,0.0001145868,0.0004903188,0.0004436063,0.0002612042,0.0005689083],"domain_scores_gemma":[0.9987115,0.00006375524,0.0002257916,0.000304248,0.00008360417,0.0006110966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007438381,0.002522896,0.9251078,0.002511037,0.00004839697,0.00003906825,0.001262308,2.359164e-7,0.0004418413,0.0007844825,0.0001065655,0.06643151],"study_design_scores_gemma":[0.001307584,0.00139909,0.9951945,0.0001457506,0.0002563788,0.00001211579,0.0002793706,0.0002982131,0.0001433852,0.00008939359,0.0007195802,0.0001546616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992379,0.0002964126,0.00001674576,0.004092788,0.00006377309,0.002664645,0.00003371122,0.0001113436,0.0003416387],"genre_scores_gemma":[0.9948098,0.0006100255,0.0003151075,0.003210268,0.0001437778,0.0006589548,0.000103596,0.00001905246,0.0001294313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07008666,"threshold_uncertainty_score":0.673378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2239564722256535,"score_gpt":0.4314338384385663,"score_spread":0.2074773662129128,"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."}}