{"id":"W4415463894","doi":"10.2196/86189","title":"Fixed Versus Lottery Incentives for Promoting Engagement With a Cadence-Based Smartphone App: Randomized Crossover Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Incentive; Crossover; Randomized controlled trial; Crossover study; Randomized experiment; Fixed effects model","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":[0.006036571,0.002656861,0.004144079,0.0009176517,0.001173955,0.001877457,0.001836907,0.005830763,0.02677527],"category_scores_gemma":[0.01525472,0.001430905,0.002769904,0.0007015086,0.002453844,0.002242362,0.001119775,0.005332238,0.002732745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525947,"about_ca_system_score_gemma":0.002163607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002204481,"about_ca_topic_score_gemma":0.002267613,"domain_scores_codex":[0.9951274,0.002915458,0.0004398803,0.0007049573,0.0003706983,0.0004415587],"domain_scores_gemma":[0.9925673,0.004405475,0.001043926,0.0005816314,0.0004048703,0.000996709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9698061,0.01797662,0.0001373537,0.001167303,0.0007724314,0.00001911618,0.00009134321,0.0001756571,0.0004631095,0.0004068576,0.001028111,0.00795602],"study_design_scores_gemma":[0.9683404,0.030222,0.0002568832,0.00007885595,0.0001923744,0.000004024609,0.00001740259,0.0002607818,0.000105256,0.0002036329,0.0003069049,0.00001136071],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438293,0.005158687,0.007094646,0.002617543,0.007581719,0.1216292,0.00323551,0.0009683619,0.007884907],"genre_scores_gemma":[0.8704023,0.001809222,0.01085661,0.00198366,0.001681204,0.1064268,0.0007082871,0.00008049067,0.006051513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02677527,"threshold_uncertainty_score":0.08957219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201794557418926,"score_gpt":0.5120109504816913,"score_spread":0.2918314947397987,"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."}}