{"id":"W4396174180","doi":"10.15468/lllful","title":"Computarización de la Colección de Referencia de Nemátodos Fitopatógenos del Centro Nacional de Referencia Fitosanitaria de la Dirección General de Sanidad Vegetal","year":2018,"lang":"es","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Plant and soil sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Humanities; Art","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":[0.004401333,0.001017579,0.0007465297,0.004197669,0.0005622869,0.00276274,0.0007796331,0.0006924061,0.003804028],"category_scores_gemma":[0.01264106,0.0003098341,0.001177075,0.003361174,0.0001816038,0.001043139,0.0009236808,0.0005766915,0.001707821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000966448,"about_ca_system_score_gemma":0.002070179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04370547,"about_ca_topic_score_gemma":0.03970336,"domain_scores_codex":[0.9976099,0.0005290263,0.0002143255,0.0008014525,0.0006496509,0.0001956756],"domain_scores_gemma":[0.9924963,0.003389752,0.0008805603,0.0005222364,0.002423795,0.0002874074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003955735,0.0001082306,0.7909601,0.0002861782,0.0005188828,0.0001242999,0.0002761312,0.03099262,0.002911456,0.0005762368,0.004437173,0.1684131],"study_design_scores_gemma":[0.00005518085,0.0003693461,0.6079878,0.0002652436,0.0005879669,0.0003758401,0.0009551639,0.3641333,0.006116002,0.0016046,0.01747937,0.00007022035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8809646,0.003571691,0.07554574,0.0007629317,0.0002576947,0.0004618618,0.01978958,0.004984489,0.01366136],"genre_scores_gemma":[0.9114766,0.001040418,0.06178935,0.0001207865,0.00004855054,0.0002296078,0.02041987,0.0001870885,0.004687663],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04370547,"threshold_uncertainty_score":0.08690214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261534446286708,"score_gpt":0.2240456137895777,"score_spread":0.2114302693267106,"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."}}