{"id":"W4394873324","doi":"10.1080/10400435.2024.2337857","title":"Health App Review Tool (HART): Content validation through expert panel review","year":2024,"lang":"en","type":"article","venue":"Assistive Technology","topic":"Health Education and Validation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Content validity; Health care; Computer science; Content analysis; Psychology; Psychometrics; Clinical psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3618858,0.001243719,0.002165657,0.0106571,0.003197973,0.003163026,0.00386481,0.00167437,0.005072167],"category_scores_gemma":[0.3679638,0.001489814,0.002417465,0.005732293,0.002611931,0.003145318,0.005871194,0.002143914,0.002713933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004353318,"about_ca_system_score_gemma":0.03274816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886619,"about_ca_topic_score_gemma":0.009209496,"domain_scores_codex":[0.702563,0.1924004,0.04772466,0.009247489,0.04469841,0.003366076],"domain_scores_gemma":[0.4215271,0.2551957,0.02569613,0.04027306,0.2545066,0.002801305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002016857,0.002877771,0.02699235,0.02232795,0.0006999386,0.001141698,0.087113,0.002751262,0.01686428,0.005147785,0.06257786,0.7694892],"study_design_scores_gemma":[0.004504853,0.00516064,0.1400451,0.04513872,0.00273619,0.00260206,0.06106313,0.02662594,0.05206074,0.01597555,0.6425903,0.001496748],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.2194089,0.003222165,0.2812629,0.005406253,0.00152672,0.4534951,0.006544309,0.002103392,0.02703022],"genre_scores_gemma":[0.1467624,0.001913978,0.4425939,0.002205701,0.0003362372,0.3970982,0.003861112,0.0005641392,0.004664331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3618858,"threshold_uncertainty_score":0.7869084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2687437620658097,"score_gpt":0.4885633471101065,"score_spread":0.2198195850442968,"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."}}