{"id":"W2015189584","doi":"10.1080/09535314.2014.987730","title":"DEVELOPING A MULTI-SCALE MULTI-REGION INPUT–OUTPUT MODEL","year":2014,"lang":"en","type":"article","venue":"Economic Systems Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Commodity; Interdependence; Scale (ratio); Computer science; Econometrics; Focus (optics); Industrial engineering; Economics; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002465779,0.0001900154,0.0002676088,0.00009854231,0.0003625841,0.0001257208,0.0005070284,0.0001448968,0.0001320857],"category_scores_gemma":[0.000107335,0.0001802648,0.00007314901,0.0001118951,0.0004259128,0.0003739303,0.000612107,0.0003034072,0.003218923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003342262,"about_ca_system_score_gemma":0.00006115038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519749,"about_ca_topic_score_gemma":0.0004354391,"domain_scores_codex":[0.9974579,0.0004336002,0.0003985591,0.0006070781,0.0003054385,0.0007974557],"domain_scores_gemma":[0.9988995,0.0001248437,0.00007257453,0.0006164916,0.00001077215,0.0002757739],"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":[0.00006348657,0.0003448777,0.7364856,0.0001886761,0.0000352943,0.00001196435,0.004588224,0.2358412,0.002385623,0.0008124452,0.006393084,0.01284951],"study_design_scores_gemma":[0.000686969,0.00004861873,0.0768664,0.00002335332,0.000002209728,0.00001327883,0.001046713,0.9110399,0.0003126372,0.0001735336,0.009516708,0.0002696644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925383,0.00004787404,0.06696875,0.0002617189,0.0001741293,0.000754339,0.000004756672,0.00005471997,0.006350742],"genre_scores_gemma":[0.9821164,0.00001912174,0.004142266,0.00005082766,0.00007749051,0.0001212884,0.00000478023,0.000033424,0.0134344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6751987,"threshold_uncertainty_score":0.9975572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342907890059891,"score_gpt":0.3584193113896281,"score_spread":0.224128522383639,"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."}}