{"id":"W7020541362","doi":"","title":"LOS MUÉRDAGOS VERDADEROS DEL ARBOLADO DE LA CIUDAD DE MÉXICO","year":2013,"lang":"es","type":"other","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Temperate climate; 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":[0.0003514166,0.000236971,0.0001201907,0.0008280401,0.001073483,0.0005571598,0.0002006168,0.0002288715,0.001411093],"category_scores_gemma":[0.0004791376,0.0001111095,0.0001150819,0.0005847327,0.0003198683,0.0002145937,0.0003872906,0.0002393781,0.0001016601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550701,"about_ca_system_score_gemma":0.0006642181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1421858,"about_ca_topic_score_gemma":0.3963029,"domain_scores_codex":[0.9998417,0.00002927127,0.000005331081,0.00004495958,0.00003069207,0.00004795234],"domain_scores_gemma":[0.999582,0.00005794948,0.000211875,0.00001589455,0.0000839093,0.00004841228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001959197,0.00004586802,0.9580454,0.0001365369,0.00004696067,0.000212379,0.002464469,0.0001270114,0.004408042,0.0003175224,0.00134761,0.0326523],"study_design_scores_gemma":[0.000003750983,0.00005821868,0.9912462,0.0000356538,0.00002799721,0.00007279633,0.001367189,0.00008232849,0.000343687,0.00002882213,0.006730253,0.000003217962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948231,0.0009914639,0.0001920003,0.0002049343,0.000009107229,0.0000185195,0.0005637098,0.00001562084,0.003181618],"genre_scores_gemma":[0.99406,0.001340877,0.00070913,0.00005956398,0.00001075429,0.00002354097,0.000561621,0.000002420453,0.003231954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421858,"threshold_uncertainty_score":0.2827165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327941514362552,"score_gpt":0.2467623261281291,"score_spread":0.2334829109845036,"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."}}