{"id":"W7065362395","doi":"","title":"David Kirby on Mercury in Vaccines &amp; the Secret US Vaccine Court","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thimerosal; Mercury (programming language); Autism; Public health; MERCURY EXPOSURE; Subpoena","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":[0.001519121,0.0004403002,0.0003058512,0.0004735279,0.006245741,0.004017286,0.0009162744,0.01194253,0.02919516],"category_scores_gemma":[0.005815522,0.0003705727,0.0003686295,0.0004215261,0.001569296,0.002797799,0.001355074,0.009528631,0.009517203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402722,"about_ca_system_score_gemma":0.004954282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03791683,"about_ca_topic_score_gemma":0.085508,"domain_scores_codex":[0.9977482,0.0003517936,0.0000566467,0.0002369268,0.001234046,0.000372428],"domain_scores_gemma":[0.9977919,0.001247873,0.00007475923,0.00008924856,0.0005239205,0.0002722043],"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":[0.000005347068,0.000008482827,0.00007866284,0.000007942127,8.355929e-7,0.00008701728,0.00006471023,0.00001130845,0.00006611667,0.01026057,0.9843205,0.00508859],"study_design_scores_gemma":[0.000003572045,0.000005222778,0.0001851125,0.0000358293,0.000001281315,0.00006832714,0.0001267857,0.00002462176,0.0001037583,0.001710551,0.9977303,0.000004700211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001488827,0.01663733,0.000474173,0.5443256,0.02115959,0.0000469241,0.0003031089,0.000128771,0.4154357],"genre_scores_gemma":[0.01342943,0.00587278,0.0003213485,0.3490073,0.004252881,0.0000621146,0.0000839941,0.0000909178,0.6268793],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03791683,"threshold_uncertainty_score":0.09766752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007661209945704993,"score_gpt":0.1913186823715624,"score_spread":0.1836574724258574,"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."}}