{"id":"W2285141506","doi":"10.1159/000401887","title":"Radiographic Age in the Interpretation of Physiological and Anthropological Data","year":2015,"lang":"en","type":"book-chapter","venue":"Medicine and sport science/Medicine and sport","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Interpretation (philosophy); Radiography; Medicine; Radiology; Computer science","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":[0.008782948,0.000924046,0.0008048522,0.003337245,0.0004378598,0.003378951,0.001638841,0.001966189,0.002756402],"category_scores_gemma":[0.01984989,0.0006539262,0.0004271609,0.001689491,0.006542773,0.005034104,0.001472864,0.003588567,0.001543356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037914,"about_ca_system_score_gemma":0.001149089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916711,"about_ca_topic_score_gemma":0.004678164,"domain_scores_codex":[0.997271,0.001481746,0.000285997,0.000225584,0.00067028,0.00006531249],"domain_scores_gemma":[0.9838166,0.0145226,0.0003663589,0.0003333267,0.0008390607,0.0001220886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001419542,0.00006456226,0.008457989,0.001409175,0.00005926708,0.001727309,0.009321643,0.00180657,0.002230631,0.2149572,0.03604927,0.7237745],"study_design_scores_gemma":[0.00001875186,0.0002054496,0.01768649,0.004648202,0.0001634341,0.01316971,0.005672046,0.003554659,0.004097521,0.4081078,0.5424935,0.0001824748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01568633,0.6037157,0.2176212,0.023436,0.009545266,0.000125615,0.0004082627,0.0005880359,0.1288736],"genre_scores_gemma":[0.2139405,0.4436672,0.2371868,0.007658344,0.01534621,0.0002322459,0.0003234741,0.0008268077,0.08081852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008782948,"threshold_uncertainty_score":0.04644924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120653099314999,"score_gpt":0.3833636961431253,"score_spread":0.2627105968281264,"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."}}