{"id":"W998406404","doi":"","title":"CSA：瞄准中国企业“绿色”需求","year":2010,"lang":"zh","type":"article","venue":"电器","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003948516,0.0001340093,0.0001319929,0.00003341382,0.000413124,0.00008055018,0.0003085511,0.0001812611,0.004899283],"category_scores_gemma":[0.00004243799,0.0001246226,0.00008347289,0.0001453029,0.0003689157,0.0001397239,0.00008251196,0.0002633539,0.005229681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005260723,"about_ca_system_score_gemma":0.000110669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003769195,"about_ca_topic_score_gemma":0.0006105258,"domain_scores_codex":[0.9986278,0.00004547203,0.0001691111,0.000256706,0.0005165148,0.0003843313],"domain_scores_gemma":[0.9994866,0.0000563052,0.00006511166,0.0001875306,0.00001457067,0.0001898319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003395581,0.0004310372,0.1407176,0.00003200123,0.0001252748,0.00005851741,0.03403239,0.00001141909,0.005335603,0.4921655,0.1947701,0.1322865],"study_design_scores_gemma":[0.0001380273,0.00001704924,0.1140181,0.00001133752,0.00001123813,0.000001024113,0.0006245091,0.00001132782,0.00008310124,0.006950555,0.8779333,0.0002003925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4171215,0.0001714944,0.00001406639,0.01283992,0.003248071,0.0001675482,0.000003249814,0.0000404979,0.5663936],"genre_scores_gemma":[0.9256854,0.0007393432,0.000470415,0.0005632626,0.0009824232,0.00000935879,0.000006314155,0.0000127474,0.07153074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6831632,"threshold_uncertainty_score":0.9960104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700202946132104,"score_gpt":0.2541565741196701,"score_spread":0.2371545446583491,"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."}}