{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01073872,0.000619324,0.0006071835,0.002111833,0.0008433011,0.00316339,0.001398208,0.002175619,0.00326113],"category_scores_gemma":[0.02912959,0.0003972886,0.0005779364,0.001193193,0.0009000748,0.005648801,0.001386418,0.001165544,0.0009995035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000735124,"about_ca_system_score_gemma":0.002985914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523634,"about_ca_topic_score_gemma":0.003091571,"domain_scores_codex":[0.9934909,0.003182364,0.001136291,0.0003549945,0.001496927,0.0003386046],"domain_scores_gemma":[0.9315707,0.0553988,0.002103663,0.001068372,0.009314701,0.0005437548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003809631,0.0005650851,0.01849174,0.03249266,0.00006031409,0.002043527,0.01892292,0.001036639,0.008233227,0.01272752,0.01188832,0.8931572],"study_design_scores_gemma":[0.0001211794,0.00395924,0.07181633,0.08601945,0.000724889,0.02270364,0.09129521,0.01101183,0.01375463,0.02890885,0.6694041,0.0002806005],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3593489,0.4092855,0.08539857,0.08326278,0.002260773,0.003228572,0.001608612,0.0008850372,0.05472123],"genre_scores_gemma":[0.6063618,0.2043278,0.1703634,0.005967094,0.0008276328,0.003796618,0.001028995,0.0001903103,0.007136369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01073872,"threshold_uncertainty_score":0.05679244,"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."}}