{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393567,0.0007672511,0.0005676437,0.001146118,0.0003790597,0.00188033,0.0004640595,0.0004926104,0.001509225],"category_scores_gemma":[0.003823381,0.0003158555,0.0007664845,0.00129343,0.0006077839,0.0006779982,0.0006582882,0.0003869837,0.0002546641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007422733,"about_ca_system_score_gemma":0.0008351404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578977,"about_ca_topic_score_gemma":0.02249981,"domain_scores_codex":[0.9990948,0.0002208937,0.00006111328,0.000286057,0.0002285019,0.0001085821],"domain_scores_gemma":[0.9958961,0.002218098,0.0009836201,0.0002287015,0.0005229041,0.0001505625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003978242,0.00005051659,0.9372697,0.0002148486,0.0003813885,0.0001608668,0.0005489973,0.01932572,0.02038675,0.0004925596,0.0001407564,0.02062998],"study_design_scores_gemma":[0.0000127236,0.0005070735,0.9573377,0.00003757969,0.0001575767,0.0001747882,0.001915483,0.03117389,0.006280148,0.0007991935,0.001569165,0.00003452689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920631,0.0002714549,0.006150347,0.00004350023,0.00000686981,0.00003522632,0.0004583129,0.00004512635,0.0009259428],"genre_scores_gemma":[0.996695,0.0001148352,0.002561999,0.000007863595,0.000003761038,0.00001925463,0.0003016341,0.000008159801,0.0002873646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578977,"threshold_uncertainty_score":0.03139573,"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."}}