{"id":"W4408511407","doi":"10.3386/w33566","title":"A Quest for AI Knowledge","year":2025,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01764379,0.0007709331,0.001130318,0.003321883,0.002827688,0.01344212,0.002541842,0.004943082,0.008330238],"category_scores_gemma":[0.04605021,0.0006169216,0.001069207,0.003150857,0.02643404,0.02823881,0.01040887,0.01092431,0.002579385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003922563,"about_ca_system_score_gemma":0.007210723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002608566,"about_ca_topic_score_gemma":0.001595194,"domain_scores_codex":[0.9918963,0.003659631,0.0002957027,0.001347744,0.002230869,0.0005697102],"domain_scores_gemma":[0.9488222,0.03301196,0.003025006,0.009670598,0.003350683,0.002119567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003417613,0.00003130948,0.000809442,0.000119577,0.0000374956,0.00004590321,0.0006609996,0.003774072,0.0001813996,0.9687177,0.003160441,0.02242753],"study_design_scores_gemma":[0.00001285211,0.00001875686,0.000234628,0.0001145596,0.00001089689,0.00003884026,0.0003168428,0.002539133,0.0002084595,0.9720699,0.02442227,0.00001295061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05561911,0.02396535,0.2401982,0.2737694,0.001100399,0.0001164854,0.0005706287,0.0007515125,0.4039089],"genre_scores_gemma":[0.8925516,0.01306637,0.06603813,0.01347901,0.001274406,0.0002030408,0.0003171159,0.0002272835,0.01284309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01764379,"threshold_uncertainty_score":0.09331042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4045514023904156,"score_gpt":0.5866357707658248,"score_spread":0.1820843683754092,"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."}}