{"id":"W4391079198","doi":"10.37002/salve.ficha.21864","title":"Ficha de Phantasmarana lutzae","year":2023,"lang":"es","type":"dataset","venue":"Datasets - Sistema SALVE - ICMBio","topic":"Spanish Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Computer science","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009157451,0.001899546,0.002128031,0.00049096,0.002309109,0.003583367,0.002156538,0.0009173316,0.002623453],"category_scores_gemma":[0.0003489175,0.001606628,0.0009403446,0.000328606,0.0009851761,0.0006425293,0.001196478,0.001183996,0.03260197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451597,"about_ca_system_score_gemma":0.0002334673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003640464,"about_ca_topic_score_gemma":0.01273759,"domain_scores_codex":[0.9928614,0.0004583783,0.001633348,0.001972511,0.001160773,0.001913561],"domain_scores_gemma":[0.9949471,0.000501741,0.0009214552,0.0028432,0.000291199,0.000495295],"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":[0.00018167,0.0004443952,0.00001507424,0.003318056,0.002289798,0.0008378933,0.002628613,5.934919e-7,0.00002077351,0.009830036,0.9802203,0.0002127942],"study_design_scores_gemma":[0.0009674264,0.0003232273,0.0001155655,0.001675047,0.002344729,0.00007823324,0.003941749,0.000004770046,0.00003161202,0.0002376842,0.9883802,0.001899766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007656904,0.008572332,0.00000136726,0.000704237,0.004723339,0.001071569,0.9793773,0.0003889264,0.005084397],"genre_scores_gemma":[0.0002453662,0.004110701,0.00003049721,0.002535797,0.006757835,0.0003017831,0.9755825,0.0001851313,0.01025038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02997852,"threshold_uncertainty_score":0.9993749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508595324448289,"score_gpt":0.2769157003849515,"score_spread":0.2518297471404686,"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."}}