{"id":"W4389268282","doi":"10.1504/ijmlo.2024.135124","title":"Smartphone apps for child sexual abuse education: gaps and design considerations","year":2023,"lang":"en","type":"article","venue":"International Journal of Mobile Learning and Organisation","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Mobile apps; Computer science; Child sexual abuse; Quality (philosophy); Rating scale; Scale (ratio); App store; Software; World Wide Web; Multimedia; Medical education; Sexual abuse; Psychology; Human factors and ergonomics; Poison control; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005642335,0.00005248959,0.00008217846,0.0002062085,0.0003147805,0.0001577253,0.00006215187,0.00005883803,0.00005529757],"category_scores_gemma":[0.0006545254,0.00005217742,0.00001655351,0.00009462137,0.00008527462,0.0002370338,0.00001688305,0.0001079186,0.000008324077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004768551,"about_ca_system_score_gemma":0.0002260876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001524604,"about_ca_topic_score_gemma":0.00002354481,"domain_scores_codex":[0.9993634,0.00005315264,0.0002077304,0.00008903239,0.000203056,0.00008364236],"domain_scores_gemma":[0.9991248,0.0003597222,0.0001633018,0.00002217126,0.0002815472,0.00004849449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002828311,0.0004092173,0.09368427,0.00005473883,0.0004642055,0.00002836177,0.1995507,0.00134533,0.005071493,0.1205941,0.0260068,0.552508],"study_design_scores_gemma":[0.002964422,0.0008334967,0.02624393,0.0002224523,0.00006978191,0.0004709633,0.1144986,0.0005244083,0.002301635,0.07199327,0.7793352,0.0005418571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861346,0.0004569336,0.004590899,0.006176741,0.0008637778,0.0002557201,0.000002766591,0.00008928922,0.001429245],"genre_scores_gemma":[0.9959302,0.0007880436,0.001988927,0.0001377355,0.0003336934,0.00001220019,0.00001312395,0.000007193738,0.0007888776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7533284,"threshold_uncertainty_score":0.2421069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051866694452831,"score_gpt":0.3131028284497873,"score_spread":0.292584161505259,"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."}}