{"id":"W1504733288","doi":"10.3968/4708","title":"The Application of Carbon Footprint Analysis in Hunan Province","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Geochemistry and Geochronology of Asian Mineral Deposits","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Footprint; Carbon fibers; Population; Environmental economics; Natural resource economics; Greenhouse gas; Geography; Computer science; Economics; Sociology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006036317,0.00004452635,0.0001260949,0.0001621462,0.0002056078,0.00002395139,0.0003461637,0.00004667389,0.000003278218],"category_scores_gemma":[0.00009194217,0.00004622113,0.00003769771,0.0009713754,0.0003920908,0.00002365636,0.00001973741,0.0000624579,0.000005446659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748447,"about_ca_system_score_gemma":0.000106755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04592862,"about_ca_topic_score_gemma":0.2104879,"domain_scores_codex":[0.9993191,0.000006817475,0.0001919917,0.0002105958,0.00002814533,0.0002433496],"domain_scores_gemma":[0.9995986,0.00001342836,0.0001161088,0.0001625233,0.0000259504,0.00008336217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001713737,0.000009042441,0.4624158,0.00000524901,0.00001449859,5.24166e-7,0.0002864116,0.00003885885,0.0007871095,0.512385,0.000008220552,0.0240476],"study_design_scores_gemma":[0.0001180609,0.00001768496,0.957194,0.000001916511,0.000008392122,3.811309e-7,0.0001813883,0.004427593,0.001499042,0.01603906,0.02035763,0.0001548394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6623892,0.00009232225,0.0001946447,0.001221432,0.00004856506,0.00008227833,0.000007972081,0.000003876992,0.3359597],"genre_scores_gemma":[0.9997399,0.00000235438,0.0000361229,0.00003285537,0.00002715976,0.000007476796,0.000001451084,0.000001561206,0.0001510492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4963459,"threshold_uncertainty_score":0.9604246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006508528062711422,"score_gpt":0.1935175440351942,"score_spread":0.1870090159724828,"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."}}