{"id":"W3006522561","doi":"10.33262/concienciadigital.v3i1.1.1143","title":"Análisis de patrones de características de especies andinas de las reservas Chimborazo y Sangay utilizando el método k-means clustering","year":2020,"lang":"es","type":"article","venue":"ConcienciaDigital","topic":"Plant and soil sciences","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000962843,0.0009320172,0.001304566,0.003437683,0.001500203,0.001567154,0.0005936889,0.0007329188,0.00178734],"category_scores_gemma":[0.001284865,0.0004930132,0.001353693,0.004291363,0.0006103992,0.0008978055,0.0008767517,0.00064572,0.0009256353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045007,"about_ca_system_score_gemma":0.001541542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05189539,"about_ca_topic_score_gemma":0.08212059,"domain_scores_codex":[0.9990043,0.0001124623,0.00008265497,0.0003793607,0.0002856374,0.0001356974],"domain_scores_gemma":[0.9989134,0.0002003991,0.0001993393,0.0001109219,0.0004937555,0.00008223146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009620827,0.0001593264,0.633992,0.001753794,0.0007511273,0.0008321127,0.007200411,0.01102256,0.1841866,0.0009350199,0.002604184,0.1556007],"study_design_scores_gemma":[0.0000131649,0.0002644639,0.9288056,0.0001538389,0.000383071,0.0006922854,0.007958405,0.01958795,0.02436877,0.0008796903,0.0167507,0.0001420061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526073,0.002255128,0.03355404,0.0001768887,0.00005381091,0.000227604,0.005153175,0.00063135,0.005340641],"genre_scores_gemma":[0.923016,0.001369222,0.06356139,0.00007473178,0.00001924992,0.0003143206,0.004896601,0.000203136,0.006545324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05189539,"threshold_uncertainty_score":0.1031866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773291140168165,"score_gpt":0.2618791297449343,"score_spread":0.2141462183432527,"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."}}