{"id":"W4406098738","doi":"10.46652/religacionpress.237.c378","title":"La relación del biotipo y perfil facial según análisis de Ricketts y Burstone y legan en pacientes con maloclusiones","year":2024,"lang":"es","type":"book-chapter","venue":"Religación Press eBooks","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Medicine; Humanities; Art","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":[0.0004664351,0.0004507758,0.0005789397,0.00124159,0.0005668095,0.0007101924,0.0001744618,0.0004348491,0.002134041],"category_scores_gemma":[0.001879885,0.0002378878,0.0003061657,0.0008042364,0.0005729314,0.0004445037,0.0005087858,0.0005029363,0.000347822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167763,"about_ca_system_score_gemma":0.0003230737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005806057,"about_ca_topic_score_gemma":0.00563611,"domain_scores_codex":[0.9995863,0.0000693924,0.00004451231,0.0000774264,0.0001109603,0.0001113707],"domain_scores_gemma":[0.9990409,0.000215575,0.000376736,0.00003612269,0.0002232779,0.000107426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003189875,0.00005711516,0.9787991,0.00006005888,0.00002247078,0.002163881,0.001580061,0.00003715832,0.006652548,0.00002919573,0.00008888545,0.01019042],"study_design_scores_gemma":[0.00001039206,0.0008825304,0.9824758,0.00004919657,0.00008756396,0.00779588,0.004935903,0.0001983389,0.002459033,0.00006854442,0.001019763,0.00001711528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977114,0.0009390828,0.0002328745,0.00005103193,0.0000100513,0.00002365883,0.00007800543,0.000006843466,0.0009470066],"genre_scores_gemma":[0.9975628,0.0007457791,0.0004257458,0.00005495242,0.00001285369,0.00002284749,0.0001006743,0.000004090735,0.001070265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005806057,"threshold_uncertainty_score":0.01154453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320078842994125,"score_gpt":0.2968398331009128,"score_spread":0.2736390446709716,"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."}}