{"id":"W2127718693","doi":"10.5380/rf.v37i1.7843","title":"PREDICCIÓN DE LA ESTRUCTURA DIAMÉTRICA DE ESPECIES COMERCIALES DE UN BOSQUE SUBTROPICAL POR MEDIO DE MATRICES DE TRANSICIÓN","year":2007,"lang":"es","type":"article","venue":"FLORESTA","topic":"Plant and soil sciences","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002183773,0.0003832235,0.0004424079,0.00008888789,0.0006346606,0.0004826767,0.0011145,0.0005787304,0.0003070362],"category_scores_gemma":[0.0005345584,0.0001894868,0.0002286323,0.0009018861,0.0009889123,0.0002762821,0.0001074836,0.000535329,0.00002120055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875887,"about_ca_system_score_gemma":0.0003311998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003209088,"about_ca_topic_score_gemma":0.002785434,"domain_scores_codex":[0.9962183,0.000543747,0.0004787474,0.0005165683,0.0005756672,0.001667034],"domain_scores_gemma":[0.9968019,0.002090606,0.0001740379,0.0001212946,0.00006189464,0.0007503335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002494374,0.0001689128,0.8940681,0.00006168416,0.00004588779,0.0005425417,0.002343785,0.00004214194,0.06137669,0.008434945,0.002709769,0.02995612],"study_design_scores_gemma":[0.0002612988,0.000255048,0.9711004,0.00009984997,0.00008180719,0.0003082978,0.001042509,0.0005487045,0.005633043,0.004787331,0.01547102,0.0004107057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917483,0.002007284,0.0002838758,0.002854835,0.0002434171,0.0001904828,0.0001633143,0.0001481174,0.002360352],"genre_scores_gemma":[0.9921759,0.003595274,0.001625963,0.0004387586,0.001947196,0.00001077372,0.00003806417,0.000005764775,0.000162277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07703229,"threshold_uncertainty_score":0.7727049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086051858521785,"score_gpt":0.2444462177449939,"score_spread":0.2335856991597761,"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."}}