{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006380753,0.001170039,0.001440837,0.0008524347,0.008491616,0.001188437,0.002298384,0.001420718,0.004102471],"category_scores_gemma":[0.006805214,0.001084283,0.001317046,0.001478586,0.001997469,0.0006703131,0.001135175,0.001805148,0.000493578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04090421,"about_ca_system_score_gemma":0.1103378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627471,"about_ca_topic_score_gemma":0.9839694,"domain_scores_codex":[0.9950787,0.001413111,0.0001986176,0.0006942602,0.001145907,0.001469399],"domain_scores_gemma":[0.9941637,0.0008007622,0.0005652246,0.0003724846,0.002697579,0.001400308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.09064049,0.2513529,0.3095867,0.00685267,0.002900125,0.0009027212,0.03193973,0.004249775,0.01214533,0.002970525,0.03327715,0.2531817],"study_design_scores_gemma":[0.04310112,0.1010331,0.7944154,0.001103413,0.002204648,0.0001482147,0.02448715,0.006036303,0.003160306,0.000948944,0.02288584,0.0004758089],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799928,0.0003587451,0.000945722,0.0005409232,0.00007343082,0.01403307,0.001797324,0.00005279086,0.002205176],"genre_scores_gemma":[0.9654772,0.0005409283,0.008436764,0.001432203,0.00004690203,0.01779661,0.001415831,0.00002386203,0.004829515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04090421,"threshold_uncertainty_score":0.2967822,"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."}}