{"id":"W4392776567","doi":"10.5114/jos.2024.136062","title":"Forensic sex classification using cut-off values from cranio-mandibular radiologic parameters","year":2024,"lang":"en","type":"article","venue":"Journal of Stomatology","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Universidade de Lisboa","keywords":"Forensic science; Orthodontics; Dentistry; Medicine; Forensic dentistry; Veterinary 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":[0.007652914,0.001048639,0.0007934164,0.008601362,0.0009799444,0.002417896,0.001378917,0.001431014,0.008463459],"category_scores_gemma":[0.03035432,0.0004221295,0.001706324,0.002345386,0.0008093216,0.001250255,0.001575574,0.001748308,0.0040042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009711143,"about_ca_system_score_gemma":0.001308294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005178595,"about_ca_topic_score_gemma":0.005249498,"domain_scores_codex":[0.9952982,0.0008729524,0.0007578832,0.000481696,0.002273842,0.000315426],"domain_scores_gemma":[0.9880502,0.003482996,0.002208432,0.0009143517,0.004780721,0.0005632685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001705541,0.0002399133,0.6111012,0.0006190005,0.0003413621,0.001510801,0.001143361,0.001078203,0.004533771,0.003942797,0.02616302,0.3476211],"study_design_scores_gemma":[0.0002184811,0.001143174,0.8628996,0.002802854,0.0007552367,0.01710232,0.00612213,0.01021916,0.01467769,0.01509426,0.06868108,0.0002839556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7675329,0.02800777,0.07119688,0.005550673,0.003793155,0.0018039,0.02036614,0.001667206,0.1000812],"genre_scores_gemma":[0.9032195,0.005574723,0.06839074,0.0006215919,0.0003557004,0.0008612429,0.01395619,0.0003132977,0.006707031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008601362,"threshold_uncertainty_score":0.04047292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436501750666748,"score_gpt":0.3049662067216687,"score_spread":0.2706011892150012,"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."}}