{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004641677,0.0001480747,0.0002919384,0.0006434037,0.001049524,0.0001713617,0.001204647,0.0002039434,0.005591168],"category_scores_gemma":[0.001561352,0.0001957524,0.0001315304,0.0009930002,0.0005431619,0.0004034759,0.0002637286,0.0007638977,0.0000389802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005036449,"about_ca_system_score_gemma":0.001967435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007362005,"about_ca_topic_score_gemma":0.0005907654,"domain_scores_codex":[0.9979225,0.0001261188,0.0004612552,0.0003085148,0.0007942267,0.0003874202],"domain_scores_gemma":[0.9983673,0.000383213,0.0005404782,0.0001815257,0.0003847938,0.0001426727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003303315,0.001275189,0.07596587,0.000005461222,0.0001768433,0.00003736754,0.001189903,0.00000527858,0.000082007,0.2414343,0.6036465,0.0761483],"study_design_scores_gemma":[0.000471382,0.0000634541,0.02386269,0.00004445723,0.00001655665,0.0005282075,0.00586027,8.239045e-7,0.00004485666,0.2929068,0.6759707,0.0002298117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6014232,0.01084716,0.00006085065,0.3642881,0.00340764,0.0003309631,0.0001663542,0.0001408669,0.0193349],"genre_scores_gemma":[0.9893174,0.0006554527,0.002058613,0.001050056,0.0008494703,0.00008810621,0.00011405,0.00002179008,0.005845028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878942,"threshold_uncertainty_score":0.9953179,"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."}}