{"id":"W4376869760","doi":"10.37002/salve.ficha.30433","title":"Ficha de Aphylla exilis","year":2023,"lang":"es","type":"dataset","venue":"Datasets - Sistema SALVE - ICMBio","topic":"Botanical Research and Chemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Mathematics","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001444518,0.00109362,0.001230763,0.00006022607,0.0007843826,0.0009877662,0.003707925,0.001466027,0.00328268],"category_scores_gemma":[0.002085418,0.0005480681,0.0007968999,0.001252777,0.0007143666,0.0002514252,0.00206128,0.001622158,0.02506305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253788,"about_ca_system_score_gemma":0.0001759565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005856687,"about_ca_topic_score_gemma":0.003910919,"domain_scores_codex":[0.9924334,0.0005006421,0.001166706,0.002000576,0.001619388,0.002279295],"domain_scores_gemma":[0.9946474,0.001818462,0.0005248843,0.001323328,0.0001577144,0.00152824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001269163,0.000445425,0.0001192812,0.001071401,0.0002584832,0.0005033923,0.00000498813,3.89479e-7,0.01222601,0.00003420795,0.9821284,0.003081088],"study_design_scores_gemma":[0.0003405752,0.0004030024,0.003427428,0.0006175372,0.0002095994,0.00005170427,0.0002182389,0.00001579169,0.001373043,0.0001825406,0.9920382,0.00112231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006638195,0.001073126,4.311671e-7,0.001739958,0.0004216702,0.000620074,0.9889614,0.0002017526,0.0003434017],"genre_scores_gemma":[0.001711164,0.003985825,0.00002751703,0.0007799205,0.002000641,0.0001525823,0.9893689,0.00001605865,0.001957452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02178037,"threshold_uncertainty_score":0.9998303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345331737519196,"score_gpt":0.3027515838350092,"score_spread":0.2682184100830896,"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."}}