{"id":"W4231675270","doi":"10.1126/science.364.6447.1222","title":"Unwelcome advice?","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Advice (programming); Elite; Government (linguistics); Political science; Law; Computer science; Philosophy; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02160908,0.001193367,0.001409205,0.001401586,0.008347845,0.01053373,0.00327593,0.03713266,0.1043406],"category_scores_gemma":[0.1466344,0.0006902003,0.001603273,0.001008842,0.005446082,0.01211444,0.006284917,0.04003345,0.05974749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003906328,"about_ca_system_score_gemma":0.01805584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00897448,"about_ca_topic_score_gemma":0.02282343,"domain_scores_codex":[0.9813575,0.006612037,0.001311257,0.001977015,0.006102383,0.002639792],"domain_scores_gemma":[0.8908043,0.03008622,0.004227213,0.004709934,0.03584717,0.03432517],"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":[0.000009639546,0.00001418286,0.0001003378,0.00003483754,0.000005527591,0.0000543632,0.0001273686,0.000003885313,0.00003013173,0.0009041144,0.9933165,0.005399033],"study_design_scores_gemma":[0.00002278181,0.00001289584,0.0002250237,0.0003499108,0.00001046892,0.0001195004,0.0009762958,0.00002065976,0.00003695654,0.003104294,0.9951031,0.00001807126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009442983,0.001996053,0.0001791703,0.9553184,0.0350177,0.00001298002,0.00004646029,0.00009583979,0.007238979],"genre_scores_gemma":[0.001339592,0.00151648,0.0005000316,0.9553171,0.0125612,0.0000375882,0.00005287684,0.0001347375,0.02854043],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1043406,"threshold_uncertainty_score":0.349054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580318566255171,"score_gpt":0.3430633152168857,"score_spread":0.3272601295543339,"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."}}