{"id":"W6931220324","doi":"10.5281/zenodo.3798698","title":"Anthophora Latreille 1803","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Subgenus; Southern Hemisphere; Western hemisphere; Beak","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007555331,0.0001239015,0.0001180702,0.0002084462,0.002689072,0.0009076799,0.002205138,0.00005969479,0.006729762],"category_scores_gemma":[0.0006328403,0.0001284075,0.00003970045,0.0008246867,0.0001708806,0.0003538746,0.002076151,0.000301225,0.02119691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009653898,"about_ca_system_score_gemma":0.000006108083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003814008,"about_ca_topic_score_gemma":4.446702e-7,"domain_scores_codex":[0.9980346,0.0004330123,0.0002127758,0.0005086723,0.0003867765,0.0004241441],"domain_scores_gemma":[0.9981323,0.00002968161,0.00009172094,0.000857916,0.000677395,0.0002109556],"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":[0.00002878279,0.0001080563,0.00004737601,0.00007056238,0.00002442984,0.00003507296,0.003635632,0.00004007447,0.001505189,0.07756828,0.2896298,0.6273068],"study_design_scores_gemma":[0.0002053591,0.0003189479,0.00106875,0.00001669616,0.000001981237,0.0001173346,0.00005326095,0.009014075,0.0002875869,0.0006361228,0.9881277,0.0001521736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02996182,0.0001885167,0.2556856,0.009893931,0.0009109661,0.000744765,0.00007017193,0.005944099,0.6966001],"genre_scores_gemma":[0.9877551,0.00003083174,0.008327876,0.0006686728,0.0004932259,2.538919e-8,0.0001611728,0.0008966334,0.001666496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9577932,"threshold_uncertainty_score":0.9986093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437866337206592,"score_gpt":0.279485252603235,"score_spread":0.2451065892311691,"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."}}