{"id":"W3200514301","doi":"","title":"Proceedings of the Trends in Forensic Sciences (TIFS) Conference 2021","year":2021,"lang":"en","type":"article","venue":"","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Forensic science; Engineering ethics; History; Political science; Engineering; Archaeology","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":[0.005875682,0.001070874,0.000862392,0.002993681,0.002227754,0.00662739,0.001178922,0.003743215,0.09020794],"category_scores_gemma":[0.005321112,0.000368941,0.0008226007,0.001325305,0.001763028,0.002668779,0.003130275,0.003097985,0.03410771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878244,"about_ca_system_score_gemma":0.004784407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005379409,"about_ca_topic_score_gemma":0.01358921,"domain_scores_codex":[0.9979572,0.0004925451,0.00008494717,0.0001669639,0.001078638,0.0002196901],"domain_scores_gemma":[0.9921963,0.001196118,0.0002715882,0.0006271692,0.003908576,0.001800365],"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":[0.0002663818,0.0002315191,0.00130019,0.0002846992,0.00004571542,0.0004008825,0.0001810062,0.0006226559,0.003522651,0.009816111,0.7401278,0.2432003],"study_design_scores_gemma":[0.00001148603,0.00005585088,0.001164877,0.0001838212,0.00002044873,0.0003897763,0.0002324769,0.001223252,0.001929813,0.004126922,0.9906452,0.00001605716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0245454,0.03639469,0.07561353,0.1216576,0.1323913,0.001199488,0.004541004,0.003249445,0.6004075],"genre_scores_gemma":[0.069049,0.02546361,0.04207763,0.01072837,0.01722381,0.0003584551,0.006803717,0.0008923232,0.827403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09020794,"threshold_uncertainty_score":0.3017756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225884823160953,"score_gpt":0.2310349211114577,"score_spread":0.2087760728798482,"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."}}