{"id":"W2889813736","doi":"10.3386/w17289","title":"The Extensive Margin, Sectoral Shares and International Business Cycles","year":2011,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Royal Bank of Canada","keywords":"Margin (machine learning); Business; International business; International trade; Economic geography; Economics; Computer science; Management","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":[0.0003903304,0.0001509938,0.0001899245,0.0006948684,0.0001566365,0.001204156,0.0001684748,0.0002485147,0.003405385],"category_scores_gemma":[0.00407613,0.00009830485,0.0001442855,0.001511548,0.0007973672,0.001602184,0.0005555371,0.0003685426,0.0002630095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320945,"about_ca_system_score_gemma":0.0001771589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290978,"about_ca_topic_score_gemma":0.002211094,"domain_scores_codex":[0.9999055,0.00002447244,0.000008238935,0.00002101307,0.00002363309,0.00001721633],"domain_scores_gemma":[0.9977136,0.0009075421,0.0009073456,0.0002292675,0.00009412043,0.0001482107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003254721,0.00008143012,0.5635425,0.0001292313,0.0001660455,0.000563107,0.001257533,0.07772865,0.004371374,0.2621675,0.00381366,0.08585348],"study_design_scores_gemma":[0.00002129783,0.00006681333,0.5421603,0.00006783598,0.00005270948,0.0006529243,0.00087457,0.04137114,0.001253698,0.3995053,0.01393327,0.00004026706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650801,0.001653395,0.008036525,0.0008925118,0.00001811157,0.000006714608,0.0006185811,0.00004695312,0.02364714],"genre_scores_gemma":[0.9989216,0.0002488387,0.0001503514,0.00001626558,0.00001662759,0.000001299128,0.00007279641,0.000005799135,0.0005663832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003405385,"threshold_uncertainty_score":0.01139218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3351450033279906,"score_gpt":0.4401761895644171,"score_spread":0.1050311862364265,"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."}}