{"id":"W6979875527","doi":"","title":"Análisis evolutivos y ecológicos de rumiantes basados en datos filogenéticos","year":2011,"lang":"es","type":"dissertation","venue":"Library Open Repository (Universidad Complutense Madrid)","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Persona; Quarter (Canadian coin)","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":[0.001679278,0.0004320329,0.0005231206,0.002773503,0.000707525,0.001766177,0.0004300766,0.0004157345,0.002090013],"category_scores_gemma":[0.002469349,0.000246385,0.0005608537,0.002692037,0.0003745108,0.0008004114,0.0007212724,0.0004005393,0.0006608766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327323,"about_ca_system_score_gemma":0.0004471338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009031334,"about_ca_topic_score_gemma":0.02159197,"domain_scores_codex":[0.9994903,0.0001733462,0.0000370113,0.0001214636,0.00008563322,0.00009216967],"domain_scores_gemma":[0.9973174,0.0008433611,0.0008705066,0.0002782153,0.0004902329,0.0002003158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001556152,0.00003886305,0.9499171,0.0001508044,0.0002052257,0.0001338547,0.001737068,0.0003744818,0.01757274,0.0002655683,0.0001262613,0.02932245],"study_design_scores_gemma":[0.000001770836,0.00008159789,0.9935187,0.00004571695,0.0000638335,0.0001074834,0.001522942,0.0004007849,0.001345508,0.0001394663,0.002759051,0.00001316255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938666,0.00111442,0.002399594,0.00005317734,0.00001144118,0.00002355611,0.0008232511,0.00003687469,0.001671068],"genre_scores_gemma":[0.9885633,0.001247129,0.006094614,0.00004050876,0.00001608748,0.00004647304,0.001293439,0.0000291308,0.002669352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009031334,"threshold_uncertainty_score":0.01795751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478322139437362,"score_gpt":0.257345084134424,"score_spread":0.2325618627400504,"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."}}