{"id":"W7095088343","doi":"","title":"A PRELIMINARY REPORT ON THE USE OF CEVITAMIC ACID IN THE TREATMENT OF WHOOPING COUGH","year":2015,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preliminary report; Ascorbic acid; Whooping cough; Disease; Vitamin; Folic acid","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":[0.000632578,0.0007224483,0.0007243628,0.0008570579,0.0008694296,0.0006200127,0.001389756,0.002355338,0.008405558],"category_scores_gemma":[0.00261303,0.0002800972,0.001264443,0.0005956895,0.0004006449,0.0007152673,0.0003848625,0.002031368,0.00408218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507556,"about_ca_system_score_gemma":0.0007893784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561194,"about_ca_topic_score_gemma":0.002523086,"domain_scores_codex":[0.9992217,0.0002531713,0.0001824864,0.00008737668,0.0001684615,0.00008683349],"domain_scores_gemma":[0.9987147,0.0005351487,0.0001269631,0.000165958,0.0002535809,0.0002037579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009053802,0.00644565,0.009373603,0.007827231,0.0004407525,0.1412105,0.00198292,0.0004635029,0.0975969,0.001414343,0.06193784,0.662253],"study_design_scores_gemma":[0.0006757448,0.02678422,0.02491485,0.000995425,0.001219054,0.08135555,0.0005040885,0.0002122046,0.05896375,0.0006629696,0.8035805,0.0001316605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3520006,0.2720653,0.01991548,0.03096945,0.03348786,0.006211799,0.003329796,0.001309122,0.2807106],"genre_scores_gemma":[0.5216054,0.2495588,0.01428244,0.03507537,0.02538965,0.00163952,0.003780459,0.0003459233,0.1483224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008405558,"threshold_uncertainty_score":0.02811944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1485908755593442,"score_gpt":0.295826809256925,"score_spread":0.1472359336975808,"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."}}