{"id":"W4410611229","doi":"10.31235/osf.io/uyxh9_v4","title":"Measuring Industrial Policy: A Text Based Approach","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Oxford; York University; World Bank Group; Princeton University; Alfred P. Sloan Foundation","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007070511,0.001035978,0.0009454186,0.03569312,0.001057621,0.004255254,0.001133602,0.001625948,0.009758164],"category_scores_gemma":[0.03360635,0.0003114913,0.0009081907,0.02772616,0.0009718488,0.004941375,0.001849931,0.001549066,0.008039392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472754,"about_ca_system_score_gemma":0.001727905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005551618,"about_ca_topic_score_gemma":0.003428768,"domain_scores_codex":[0.9899325,0.002881137,0.001924311,0.001580013,0.003214625,0.0004675133],"domain_scores_gemma":[0.9487873,0.03335078,0.007363647,0.002531302,0.007258595,0.0007084197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006472606,0.001283337,0.2129189,0.003437123,0.0003983291,0.0005530867,0.003691324,0.01149292,0.008772884,0.01814187,0.09295687,0.6457061],"study_design_scores_gemma":[0.0002111386,0.0007708883,0.4060382,0.00154792,0.00036048,0.0008628618,0.01112144,0.1971204,0.01838619,0.05168179,0.3114946,0.0004040884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3826711,0.004442043,0.1645525,0.005992594,0.000873931,0.004678628,0.3549387,0.008486369,0.07336407],"genre_scores_gemma":[0.5484183,0.002097901,0.2152552,0.0008743826,0.001247181,0.004614504,0.2150651,0.0005475931,0.01187974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03569312,"threshold_uncertainty_score":0.03739291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1874428833992173,"score_gpt":0.2295142293122499,"score_spread":0.04207134591303258,"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."}}