{"id":"W2810797565","doi":"10.2196/mhealth.9912","title":"Evaluating the Carrot Rewards App, a Population-Level Incentive-Based Intervention Promoting Step Counts Across Two Canadian Provinces: Quasi-Experimental Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Western University","funders":"Diabetes Canada; Public Health Agency; Public Health Agency of Canada; Heart and Stroke Foundation of Canada","keywords":"Incentive; Baseline (sea); Loyalty; Population; Psychology; Intervention (counseling); Demography; Physical therapy; Medicine; Applied psychology; Environmental health; Marketing; Business; Economics","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":[0.001454228,0.0001568757,0.0003159024,0.00006582232,0.000993653,0.00004370751,0.00008436907,0.00005862526,0.0000399544],"category_scores_gemma":[0.00007164245,0.0001165186,0.00004696481,0.0002192394,0.000106286,0.0001075628,0.00003148975,0.0003360445,0.00002359413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007955014,"about_ca_system_score_gemma":0.001404185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1877864,"about_ca_topic_score_gemma":0.1447158,"domain_scores_codex":[0.9979495,0.000305827,0.0003967694,0.000359009,0.0004029708,0.0005859361],"domain_scores_gemma":[0.9988215,0.00006361734,0.0002266657,0.0002342,0.0001345468,0.0005194453],"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":[0.003771402,0.02275516,0.4256204,0.006623347,0.0001422378,0.00002281464,0.06864602,0.000004370273,0.0002256412,0.001347978,0.001126699,0.4697139],"study_design_scores_gemma":[0.007953536,0.03192224,0.9192685,0.0008138127,0.000110115,0.00001710628,0.008114235,0.02997955,0.0001157007,0.0001581699,0.001188648,0.0003583978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954853,0.0001180891,0.00005657895,0.001276144,0.0002199762,0.002406086,0.00005213789,0.00005079134,0.0003349196],"genre_scores_gemma":[0.9979043,0.00000339751,0.0002074693,0.001058049,0.0005087487,0.0001606275,0.00004778728,0.00002051787,0.00008910793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4936481,"threshold_uncertainty_score":0.8708909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1815466772943269,"score_gpt":0.5112589613553311,"score_spread":0.3297122840610043,"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."}}