{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005883912,0.002574915,0.001456417,0.003891873,0.0008916788,0.001387793,0.002306357,0.002166688,0.04590323],"category_scores_gemma":[0.00262918,0.0004300425,0.001640063,0.00386907,0.0005272861,0.0008350115,0.001387344,0.001256929,0.04190764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149815,"about_ca_system_score_gemma":0.00128516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01643989,"about_ca_topic_score_gemma":0.02649201,"domain_scores_codex":[0.9994252,0.0001006436,0.00005052971,0.0001834065,0.0001508694,0.00008943873],"domain_scores_gemma":[0.9991203,0.0002899621,0.00008614326,0.0002169952,0.0001727642,0.0001138574],"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":[0.000335883,0.0001021121,0.001529429,0.002506702,0.0001540645,0.00008706497,0.0000691883,0.001345569,0.00157485,0.0007636195,0.980176,0.01135553],"study_design_scores_gemma":[0.0004150333,0.00005140295,0.01067972,0.0003073586,0.000147047,0.0001557472,0.000120344,0.001749441,0.001343808,0.001593977,0.9833888,0.00004737169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001376405,0.0002882346,0.000123082,0.00008949058,0.00003781638,0.00001880261,0.9959224,0.0007396652,0.001403988],"genre_scores_gemma":[0.001099653,0.00008587772,0.0003404235,0.0000278433,0.000007215616,0.00005998892,0.9976197,0.00005245287,0.0007068574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04590323,"threshold_uncertainty_score":0.1535616,"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."}}