{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007364651,0.0001440804,0.0003223885,0.00105044,0.0001618208,0.0001697551,0.0015381,0.0002772032,0.00004191031],"category_scores_gemma":[0.003100228,0.0001475428,0.000143396,0.0002692017,0.00009539723,0.0002350972,0.0004061573,0.0006180677,0.0001250643],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173308,"about_ca_system_score_gemma":0.01036695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005499133,"about_ca_topic_score_gemma":0.0001682103,"domain_scores_codex":[0.9975646,0.0001882568,0.0005288721,0.0006578068,0.0007772292,0.000283215],"domain_scores_gemma":[0.9938706,0.001905085,0.0002297514,0.0006227469,0.003302953,0.00006889278],"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":[0.000006185181,0.00004250538,0.00005098437,0.0002074095,0.00003500235,1.598703e-7,0.00001988394,0.00003719319,0.00000992834,0.6540601,0.3252612,0.02026946],"study_design_scores_gemma":[0.0002118109,0.00006063392,0.0002903687,0.0001145331,0.000004441961,0.000003633925,0.000002858742,0.02621189,0.00004367005,0.2094603,0.763474,0.0001217458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000642936,0.0009889653,0.01250633,0.005053988,0.0009603716,0.0005995743,0.0001657409,0.0000510202,0.9796676],"genre_scores_gemma":[0.2671886,0.00342581,0.03073861,0.0002753954,0.006061609,0.002177225,0.01099167,0.0001163768,0.6790247],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4445998,"threshold_uncertainty_score":0.9952434,"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."}}