{"id":"W4391308499","doi":"10.1146/knowable-012924-2","title":"Descifrando la genética de nuestros rasgos faciales","year":2024,"lang":"es","type":"article","venue":"Knowable Magazine","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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":[0.0006929041,0.0004730808,0.0001775823,0.0009711773,0.002079844,0.002008795,0.0003025355,0.001277713,0.01177629],"category_scores_gemma":[0.001829898,0.0002071182,0.0003443179,0.000547088,0.002109416,0.001346127,0.001175955,0.00124781,0.001293864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197854,"about_ca_system_score_gemma":0.001041937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01580558,"about_ca_topic_score_gemma":0.03535844,"domain_scores_codex":[0.9994757,0.0001214511,0.00001569903,0.0001209256,0.0001811616,0.00008513217],"domain_scores_gemma":[0.9993881,0.0001953555,0.0001008445,0.00005472628,0.0001947926,0.00006617384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000471783,0.0001138748,0.07999085,0.0004497584,0.0001322893,0.008088554,0.02822595,0.0008665608,0.04238673,0.3709009,0.04215657,0.4262162],"study_design_scores_gemma":[0.0000304906,0.0002953252,0.1319243,0.001155511,0.0002137761,0.03131882,0.02786655,0.001228705,0.01296646,0.07254869,0.7202746,0.0001768227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5471543,0.05015508,0.02668081,0.04798466,0.003699919,0.00008304961,0.0005682692,0.000294744,0.3233791],"genre_scores_gemma":[0.7866348,0.01203521,0.008262042,0.00392397,0.0004379394,0.00004036663,0.0001406139,0.00007781837,0.1884473],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01580558,"threshold_uncertainty_score":0.03939563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017691179803248,"score_gpt":0.3160074919475394,"score_spread":0.2983163121442913,"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."}}