{"id":"W4394688444","doi":"10.21203/rs.3.rs-4167249/v1","title":"Compilation and Application of Real Global Input-Output Tables","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Computer science; Arithmetic; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004382135,0.0001621201,0.0003378351,0.0005099783,0.00018196,0.0004220095,0.0007287796,0.0003141563,0.00007438967],"category_scores_gemma":[0.0007088277,0.000133587,0.0001123394,0.001596175,0.0003058507,0.00007711059,0.002193848,0.0006063372,0.0001424041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735469,"about_ca_system_score_gemma":0.000282016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000699872,"about_ca_topic_score_gemma":0.0001082532,"domain_scores_codex":[0.9954418,0.0003213582,0.0007599229,0.0008551892,0.002363389,0.0002583434],"domain_scores_gemma":[0.9957824,0.00108601,0.0002312083,0.001145281,0.001621035,0.0001340406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005862664,0.0001752564,0.07563909,0.0006718874,0.00004251948,0.000002601713,0.0006046218,0.003473244,0.0006230127,0.4092198,0.02601789,0.4834715],"study_design_scores_gemma":[0.00009134298,0.00005058537,0.08357977,0.0001706107,0.00001071985,0.000001622225,0.0003248024,0.07043827,0.0003346491,0.8223172,0.02253567,0.0001447247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5992349,0.0048841,0.245526,0.01036887,0.0004620042,0.009110535,0.01511855,0.0008976386,0.1143974],"genre_scores_gemma":[0.9960063,0.000268186,0.002289364,0.00001019724,0.0001411559,0.0002928689,0.0003424789,0.00001554698,0.0006339487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4833267,"threshold_uncertainty_score":0.5447518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2168081045136497,"score_gpt":0.5441270844176938,"score_spread":0.3273189799040441,"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."}}