{"id":"W4392986725","doi":"10.32920/25443826.v1","title":"Gap Analysis of Services for Victims and Survivors of Online Child Sexual Exploitation and Abuse in Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Child sexual abuse; Sexual abuse; Criminology; Child abuse; Psychology; Political science; Environmental health; Human factors and ergonomics; Poison control; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003817523,0.0003682272,0.001016957,0.009151584,0.009498764,0.005084782,0.002940287,0.0008767901,0.005484172],"category_scores_gemma":[0.02237578,0.0005096243,0.001161644,0.01893849,0.00188566,0.002288695,0.006404176,0.002087591,0.0003249432],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1581544,"about_ca_system_score_gemma":0.2685621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939097,"about_ca_topic_score_gemma":0.995828,"domain_scores_codex":[0.9905779,0.0007220334,0.0005770726,0.0004771849,0.003483457,0.004162418],"domain_scores_gemma":[0.9710136,0.00221314,0.002811473,0.0005814013,0.01871125,0.004669097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000523644,0.0002780638,0.7530855,0.001890309,0.0002802919,0.000632642,0.07708892,0.001054792,0.000335167,0.009871508,0.03527195,0.1196873],"study_design_scores_gemma":[0.00003072716,0.00009641479,0.7177292,0.001730235,0.0001378723,0.0001629755,0.2379683,0.001499936,0.0003012511,0.0008242772,0.03942786,0.00009111514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313505,0.005379799,0.0007846433,0.01125098,0.0001578206,0.0008474988,0.02518718,0.00009319367,0.02494847],"genre_scores_gemma":[0.9810557,0.003478978,0.001893863,0.0014963,0.00002532771,0.0006307803,0.007465669,0.00004777235,0.003905411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581544,"threshold_uncertainty_score":0.9764215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937638070540236,"score_gpt":0.2635836532940308,"score_spread":0.2442072725886284,"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."}}