{"id":"W3013057974","doi":"10.2196/16971","title":"A Mobile App to Rapidly Appraise the In-Store Food Environment: Reliability, Utility, and Construct Validity Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Griffith University","keywords":"Reliability (semiconductor); Construct validity; Construct (python library); Computer science; Mobile apps; Reliability engineering; Mobile phone; Psychology; Psychometrics; Engineering; World Wide Web; Telecommunications; Clinical psychology; Computer network","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":[0.01721628,0.0006328346,0.0007099292,0.001786714,0.0005843023,0.001225291,0.0005629661,0.000624762,0.001211197],"category_scores_gemma":[0.03848156,0.0005653379,0.001393374,0.0009451935,0.0006113222,0.001491382,0.001469444,0.0008405365,0.0006215178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005375674,"about_ca_system_score_gemma":0.001405556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188447,"about_ca_topic_score_gemma":0.00375243,"domain_scores_codex":[0.9911023,0.003937453,0.001140086,0.0007330181,0.00271724,0.0003698101],"domain_scores_gemma":[0.9658378,0.01626924,0.003929378,0.001548875,0.01162634,0.0007884933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001947486,0.003464239,0.8497144,0.0009761584,0.0006318446,0.0003380816,0.00922032,0.000681014,0.004123844,0.0003920101,0.002546004,0.1259646],"study_design_scores_gemma":[0.0004510912,0.01235395,0.9540623,0.0006713885,0.0006979239,0.001176091,0.005493729,0.01405916,0.003165927,0.0003323877,0.007406808,0.0001292628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881381,0.0002555442,0.005667287,0.0001676715,0.00006392505,0.003091318,0.0004391194,0.0001369646,0.002039991],"genre_scores_gemma":[0.9679605,0.0003663077,0.02481368,0.0002290429,0.00006727179,0.004975188,0.0004635693,0.00005616793,0.001068207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01721628,"threshold_uncertainty_score":0.09104949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672048887116798,"score_gpt":0.3486085757748787,"score_spread":0.2814036870631989,"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."}}