{"id":"W7011578732","doi":"","title":"New World Next Week: Episode235 - ISIS Allies, Editing DNA, Good News Ag-Gag","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Terrorism; Human rights; State (computer science); Duty; Miracle; Malice","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":[0.0005246194,0.001002502,0.0004816584,0.0008845693,0.002734392,0.007330179,0.0008548346,0.003312374,0.7867824],"category_scores_gemma":[0.00332335,0.0006253943,0.0004946212,0.001139941,0.0003924471,0.003643808,0.002986904,0.00347601,0.6735268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149941,"about_ca_system_score_gemma":0.001231152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007658536,"about_ca_topic_score_gemma":0.02540153,"domain_scores_codex":[0.9994444,0.00003406982,0.00001722389,0.00005581429,0.0003120794,0.0001363142],"domain_scores_gemma":[0.9983651,0.0002064185,0.00009386913,0.0001660672,0.0005570179,0.0006114898],"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":[0.00000945142,0.000009362846,0.00002312766,0.00001664025,5.390459e-7,0.00002170186,0.00002219334,0.00000486234,0.00005365323,0.0002078004,0.994612,0.005018659],"study_design_scores_gemma":[0.000004363596,0.000006075726,0.0001456483,0.00001376799,7.23738e-7,0.00001553296,0.00005384969,0.00001019351,0.00005784683,0.00007444977,0.9996144,0.000003148113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005529465,0.0005428874,0.0003695828,0.004367106,0.008125709,0.0001687762,0.004244068,0.002499979,0.9791291],"genre_scores_gemma":[0.001026538,0.0002473048,0.0001208255,0.001710469,0.0009242474,0.00004852661,0.001329217,0.0008131822,0.9937796],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7867824,"threshold_uncertainty_score":0.304129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386905299040972,"score_gpt":0.2111092316453834,"score_spread":0.1972401786549737,"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."}}