{"id":"W2724778690","doi":"","title":"About Biomath 2017","year":2017,"lang":"en","type":"article","venue":"Biomath Communications Supplement","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bulgarian; Honour; Context (archaeology); Political science; Library science; Olympiad; Geography; Media studies; Sociology; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00276865,0.001989436,0.001328124,0.003547063,0.002735689,0.01278599,0.003039267,0.005155647,0.6193879],"category_scores_gemma":[0.01380135,0.0004871287,0.00123215,0.002690859,0.001131766,0.006928231,0.005646343,0.005457346,0.6786913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660499,"about_ca_system_score_gemma":0.003078067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031666,"about_ca_topic_score_gemma":0.001321358,"domain_scores_codex":[0.9975527,0.000449035,0.0001483338,0.0004537946,0.001033946,0.0003622539],"domain_scores_gemma":[0.9950004,0.0008254567,0.0004224712,0.0004061814,0.00136052,0.001984946],"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":[0.00003407961,0.00001308136,0.00005698924,0.0001450348,0.00000306425,0.00002978899,0.00002039665,0.00002390485,0.00009024513,0.0009675802,0.9790956,0.01952027],"study_design_scores_gemma":[0.000006425102,0.000005509293,0.00006945228,0.00008105164,0.00000139137,0.00002925968,0.00002325615,0.0000195176,0.00003612954,0.0006118463,0.9991102,0.000006073964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0007916521,0.01832194,0.006383127,0.07844187,0.2381788,0.0004709253,0.02567694,0.02050476,0.6112301],"genre_scores_gemma":[0.003974276,0.01270137,0.002485737,0.04076004,0.06081837,0.001019937,0.03453356,0.009707667,0.8339991],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6193879,"threshold_uncertainty_score":0.542897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05920726274574869,"score_gpt":0.370547180856545,"score_spread":0.3113399181107964,"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."}}