{"id":"W4402472934","doi":"10.2196/63776","title":"French Version of the User Mobile Application Rating Scale: Adaptation and Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Scale (ratio); Adaptation (eye); Computer science; Rating scale; Psychology; Human–computer interaction; World Wide Web; Geography; Cartography; Developmental psychology","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":[0.007043043,0.0008083308,0.0006686912,0.001175091,0.0009046614,0.0008271128,0.0004911703,0.0005923282,0.003766598],"category_scores_gemma":[0.01291053,0.0002637925,0.001413777,0.000751548,0.0005150688,0.0005803411,0.0007248686,0.0008621275,0.00112811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280841,"about_ca_system_score_gemma":0.002127794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375356,"about_ca_topic_score_gemma":0.01633983,"domain_scores_codex":[0.996521,0.001572413,0.0003834666,0.0003883329,0.0009081905,0.0002266483],"domain_scores_gemma":[0.9945186,0.001482994,0.0005098764,0.0003104104,0.002987387,0.0001907861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00179986,0.003338134,0.5515653,0.001508546,0.0008727629,0.001789049,0.0168111,0.001095688,0.006222241,0.002119058,0.0254224,0.3874558],"study_design_scores_gemma":[0.0004665073,0.004196024,0.938729,0.000593853,0.0003614922,0.002723053,0.003535034,0.001882027,0.00165214,0.0005120963,0.04523809,0.0001105882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686956,0.002540509,0.00906329,0.0008348821,0.0002400448,0.003112269,0.00307209,0.0001255224,0.01231565],"genre_scores_gemma":[0.9624828,0.002050665,0.02004022,0.0006622971,0.0001509883,0.005446466,0.00360008,0.00009680463,0.005469699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01375356,"threshold_uncertainty_score":0.03724766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05885620795234994,"score_gpt":0.4444745256926274,"score_spread":0.3856183177402775,"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."}}