{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002320189,0.00003565667,0.00005514665,0.00005801412,0.0005758941,0.0001266943,0.0005869769,0.00003247195,0.0012396],"category_scores_gemma":[0.0002401445,0.00003277194,0.00001752991,0.001182407,0.0005921624,0.0005739519,0.00005307132,0.0000746295,0.001998561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127527,"about_ca_system_score_gemma":0.001026828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029989,"about_ca_topic_score_gemma":0.0008707586,"domain_scores_codex":[0.9985983,0.00005170986,0.00007399516,0.0001939025,0.0006306819,0.0004513569],"domain_scores_gemma":[0.9994311,0.00003967364,0.0000272462,0.0001587783,0.00009342778,0.0002497583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001824289,0.0000255018,0.02144968,0.000006206817,6.159643e-7,0.000001027854,0.009929345,0.000003392178,0.0001776623,0.9586619,0.001659784,0.008083112],"study_design_scores_gemma":[0.00005285769,0.00001794235,0.02045191,0.000004701843,3.55898e-7,3.939367e-7,0.001850305,0.00004186052,0.0000173198,0.005501519,0.9720007,0.00006019757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4279653,0.00004520447,0.000005434305,0.007100337,0.0008454624,0.0001085666,0.000001213176,0.00008506754,0.5638434],"genre_scores_gemma":[0.9944614,0.00002349504,0.0001739679,0.001323689,0.00008950763,0.000001189197,2.281154e-7,0.00000130617,0.003925281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9703408,"threshold_uncertainty_score":0.9996734,"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."}}