{"id":"W3092155936","doi":"10.1016/j.eclinm.2020.100581","title":"The menacing assaults on science, FDA, CDC, and health of the US public","year":2020,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Public health; Medicine; Coronavirus disease 2019 (COVID-19); Government (linguistics); China; Pandemic; Politics; Library science; Political science; Law; MEDLINE","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01603983,0.001005951,0.0008826333,0.004119177,0.007465581,0.01235343,0.001872612,0.01474355,0.03905481],"category_scores_gemma":[0.04539424,0.0007633505,0.001528586,0.004523254,0.009755539,0.01162407,0.007042353,0.02038424,0.01090107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008687928,"about_ca_system_score_gemma":0.02007795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695466,"about_ca_topic_score_gemma":0.03692619,"domain_scores_codex":[0.9789566,0.005770046,0.001058232,0.001532557,0.01106261,0.001619859],"domain_scores_gemma":[0.9631936,0.01621017,0.003841592,0.00336249,0.009265804,0.004126412],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006843039,0.00002615889,0.0005196505,0.0004535168,0.00004917048,0.0002142499,0.0008025434,0.00008371827,0.0004676164,0.04399997,0.8569543,0.09636055],"study_design_scores_gemma":[0.00001166558,0.00004813262,0.0006497737,0.001050311,0.00001883533,0.0003218276,0.001128754,0.00005848253,0.0003410173,0.009534552,0.9867975,0.00003928613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002034706,0.04395449,0.001127063,0.8490751,0.01917925,0.00004255871,0.001012461,0.0002337615,0.08334064],"genre_scores_gemma":[0.07119505,0.0830663,0.003569592,0.7683598,0.01488225,0.0001102139,0.001261552,0.0003988218,0.0571564],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9852564,"threshold_uncertainty_score":0.1306514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1952243722291802,"score_gpt":0.5097854265418409,"score_spread":0.3145610543126607,"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."}}