{"id":"W2166697066","doi":"10.1093/analys/anq039","title":"Science without Representation","year":2010,"lang":"en","type":"article","venue":"Analysis","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Périmètre de physique théorique; Industry Canada; Government of Canada; National Science Foundation","keywords":"Representation (politics); Computer science; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003136887,0.00004871096,0.00013418,0.001694673,0.0003845313,0.0006538947,0.0007286161,0.0000248557,0.00146007],"category_scores_gemma":[0.002233059,0.00003336633,0.0001123074,0.01734708,0.0002839261,0.000779063,0.000152348,0.0001151033,0.0006232159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444326,"about_ca_system_score_gemma":0.0002004966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003896161,"about_ca_topic_score_gemma":0.00243828,"domain_scores_codex":[0.9972346,0.00006216989,0.0002522305,0.0003999303,0.001867616,0.0001834003],"domain_scores_gemma":[0.997735,0.0001645454,0.00009340717,0.0007349547,0.001152644,0.0001193979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005353462,0.00007093716,0.7298686,4.203151e-7,0.000140044,0.000007402799,0.0009605446,0.0005632815,0.2127284,0.02279263,0.004501219,0.02831293],"study_design_scores_gemma":[0.0002423107,0.0001305543,0.7232708,0.000001101074,0.000219773,0.000004053613,0.003358204,0.1921437,0.03376035,0.03998778,0.006647442,0.0002339602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454903,0.000002794569,0.007631357,0.001433738,0.0001535208,0.0000514219,0.000002601519,0.00001632934,0.04521796],"genre_scores_gemma":[0.9887827,4.112433e-7,0.0008499479,0.00004266849,0.00008305533,0.000004956685,0.000003656317,0.000001826687,0.01023075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915804,"threshold_uncertainty_score":0.9994527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09107135628098076,"score_gpt":0.5196626170147759,"score_spread":0.4285912607337952,"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."}}