{"id":"W6931391385","doi":"10.5281/zenodo.8005025","title":"Euochin bethunei Wang & Zhang 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Problem Solving Skills Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embolus; Honor; Uncanny; Sequence (biology); Extant taxon","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":[0.0002621751,0.0009667599,0.0006676147,0.001913768,0.002733968,0.0008223233,0.0007959855,0.0011679,0.008303035],"category_scores_gemma":[0.0009230716,0.0003303095,0.0001934296,0.001968641,0.0008993783,0.002669457,0.001416957,0.001053644,0.002401156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007132504,"about_ca_system_score_gemma":0.0006550165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070777,"about_ca_topic_score_gemma":0.01524246,"domain_scores_codex":[0.9997001,0.00002762384,0.00002616852,0.0001036951,0.0000879829,0.00005450613],"domain_scores_gemma":[0.9998153,0.00003696245,0.00005087569,0.00001986617,0.00004302173,0.00003393651],"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":[0.001110605,0.0003092951,0.03376268,0.001762832,0.0002940689,0.008604572,0.003484292,0.00475804,0.04022172,0.009343155,0.03182317,0.8645256],"study_design_scores_gemma":[0.000380812,0.000230927,0.2595027,0.001608441,0.0004658748,0.01220503,0.002727833,0.003664698,0.009146251,0.005162305,0.7047353,0.0001697736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4878122,0.0408447,0.02589065,0.003305027,0.003519639,0.001703692,0.01115651,0.001095253,0.4246724],"genre_scores_gemma":[0.8927631,0.01003417,0.01715145,0.003387354,0.0006297822,0.0009335214,0.006605618,0.0001540439,0.0683409],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01070777,"threshold_uncertainty_score":0.02777648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08646876314572939,"score_gpt":0.3566656521394369,"score_spread":0.2701968889937075,"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."}}