{"id":"W6931611271","doi":"10.5281/zenodo.7963043","title":"Oxneriaria supertegens S. Y. Kondr. & Lőkös Acta Bot. Hung.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hymenium; Ascocarp; Thallus; Ascospore; Conidium","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":[0.0001486351,0.0008185484,0.0003968303,0.001221109,0.0007491444,0.0006403798,0.0003468536,0.0004405406,0.03719022],"category_scores_gemma":[0.0002311985,0.0002534025,0.0002192005,0.0007862145,0.0003662926,0.001037416,0.001242875,0.0006776765,0.01335636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000864813,"about_ca_system_score_gemma":0.0005830464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01529213,"about_ca_topic_score_gemma":0.01796364,"domain_scores_codex":[0.9998596,0.00001409395,0.00001613208,0.00004722722,0.00004045445,0.00002259711],"domain_scores_gemma":[0.9998949,0.00001568865,0.00003125938,0.00001186113,0.00003162592,0.00001474496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001721918,0.00009652654,0.005084142,0.00125742,0.00002617639,0.001967923,0.0008286603,0.0003313311,0.0149587,0.00717798,0.0587611,0.9093378],"study_design_scores_gemma":[0.00003231016,0.00007593891,0.05189682,0.0004544479,0.00003456978,0.002568325,0.0007820009,0.0001481209,0.001402415,0.001178692,0.9414122,0.00001421344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09231395,0.1822033,0.004549881,0.003694134,0.002408155,0.0004842409,0.004743398,0.0008156212,0.7087873],"genre_scores_gemma":[0.4843393,0.08842468,0.006558349,0.001792928,0.0009221949,0.0003155013,0.00636593,0.0002190915,0.4110619],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03719022,"threshold_uncertainty_score":0.1244137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043697193110206,"score_gpt":0.2550730601575655,"score_spread":0.2113758670473595,"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."}}