{"id":"W2139089953","doi":"10.4236/ti.2011.21003","title":"Global Chemical Leasing Award 2010","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Christian ministry; Payment; Agriculture; Subsidy; Chemical products; Production (economics); Chemical industry; Service (business); Finance; Natural resource economics; Marketing; Environmental science; Economics; Engineering; Political science; Environmental engineering","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":[0.0000242496,0.00007822989,0.00006845814,0.000009576186,0.00003049411,0.00000249722,0.0001055641,0.0001358532,0.0003858968],"category_scores_gemma":[0.00001360263,0.00007266022,0.00001425113,0.0001425106,0.0003142223,0.00003882511,0.000172191,0.0000903016,0.0000607053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006232054,"about_ca_system_score_gemma":0.000001986925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001960489,"about_ca_topic_score_gemma":9.944521e-7,"domain_scores_codex":[0.9995504,0.000001520905,0.00007484414,0.0001677745,0.00004873425,0.0001567512],"domain_scores_gemma":[0.9997934,0.000002404031,0.00001502301,0.0001272833,0.000001205614,0.00006074699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002853799,0.0002327728,0.1265766,0.00002628768,0.00003611881,0.00003932437,0.0001803941,0.00001191481,0.7737706,0.08051544,0.004948449,0.0136336],"study_design_scores_gemma":[0.0002547983,0.00003174264,0.007867986,0.00001183538,0.00001393948,0.0000922322,0.00004063557,0.0001893416,0.9053031,0.07838774,0.007598663,0.0002079503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958675,0.00006173854,0.0001059025,0.0002080606,0.00003328343,0.00003160709,9.74052e-7,0.0001313641,0.04075208],"genre_scores_gemma":[0.9959936,0.000005248776,0.003604618,0.0002406314,0.000008376239,0.000007901178,0.000001078507,0.000003165292,0.0001353526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1315326,"threshold_uncertainty_score":0.42253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009494458039434099,"score_gpt":0.1850844602828206,"score_spread":0.1755900022433865,"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."}}