{"id":"W4220975170","doi":"10.1111/bjet.13213","title":"Why this app? How parents choose good educational apps from app stores","year":2022,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Download; Psychology; App store; Value (mathematics); Quality (philosophy); Internet privacy; World Wide Web; Medical education; Computer science; Multimedia; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.003941622,0.0002499612,0.0002500742,0.0006825767,0.001586143,0.004346604,0.000675295,0.00121899,0.006297665],"category_scores_gemma":[0.02263791,0.0004009123,0.0003924153,0.0004603959,0.0008542101,0.004225835,0.001263395,0.001138312,0.001386156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007691299,"about_ca_system_score_gemma":0.001007973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003017058,"about_ca_topic_score_gemma":0.005955666,"domain_scores_codex":[0.9977872,0.001228124,0.0001169956,0.0001618486,0.0005231619,0.0001826274],"domain_scores_gemma":[0.991715,0.005807292,0.0005936527,0.0002420706,0.001119568,0.0005223568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001729187,0.0004823159,0.1427155,0.001008076,0.00006524856,0.005783989,0.4310094,0.000139738,0.002678227,0.004361163,0.04254314,0.3690404],"study_design_scores_gemma":[0.00003820198,0.000442908,0.07516254,0.002601347,0.0001658923,0.004906649,0.7355624,0.0007762868,0.001908247,0.00479231,0.1735089,0.0001342421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398493,0.003599782,0.004997603,0.01701832,0.0002750247,0.0001987921,0.0002270518,0.000144711,0.03368933],"genre_scores_gemma":[0.9708458,0.004526369,0.008743009,0.00316256,0.00005397647,0.0001878813,0.0001568647,0.00007544782,0.01224816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006297665,"threshold_uncertainty_score":0.02106786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306622555216022,"score_gpt":0.2729408485650304,"score_spread":0.2598746230128702,"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."}}