{"id":"W4394990636","doi":"10.2196/56759","title":"Dental Tissue Density in Healthy Children Based on Radiological Data: Retrospective Analysis","year":2024,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiological weapon; Dentistry; Medicine; Retrospective cohort study; Medical physics; Radiology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003039453,0.0001465963,0.0003629318,0.0002494524,0.0002524763,0.0000253475,0.000192884,0.00009676338,0.001126082],"category_scores_gemma":[0.00006591258,0.0001019861,0.0000741826,0.0001683372,0.004799089,0.00007420959,0.0001303318,0.0003213819,0.0001052111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007730473,"about_ca_system_score_gemma":0.00002983221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504916,"about_ca_topic_score_gemma":0.09889159,"domain_scores_codex":[0.9988011,0.0001259101,0.000186667,0.0004962962,0.0001271947,0.0002628651],"domain_scores_gemma":[0.9994599,0.0001527198,0.00003056069,0.0002952533,0.00002779377,0.00003374651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004768726,0.0002654889,0.6180194,0.00002041019,0.001105348,0.0003327938,0.005494052,0.00001192198,0.00000213057,0.3283883,0.04497088,0.0009123914],"study_design_scores_gemma":[0.001178729,0.002102349,0.9563931,0.00004979506,0.0006979716,0.00002228342,0.007812817,0.005900749,0.00004707487,0.003920519,0.02128768,0.0005869084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628719,0.0009250091,0.00009228623,0.02955101,0.001161987,0.0003560689,0.00034457,0.0001996624,0.00449747],"genre_scores_gemma":[0.9969457,0.00004718669,0.00004507889,0.0009155489,0.0003939401,0.00001318801,0.0003755405,0.000006895075,0.001256969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3383737,"threshold_uncertainty_score":0.999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599395191703626,"score_gpt":0.3195907888195789,"score_spread":0.2835968369025427,"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."}}