{"id":"W2018436197","doi":"10.1080/15567036.2010.549905","title":"C4 Utilization in China","year":2014,"lang":"en","type":"article","venue":"Energy Sources Part A Recovery Utilization and Environmental Effects","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"China; Business; Geography; Archaeology","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":[0.00008356731,0.0001292389,0.0001238343,0.000128202,0.00007537112,0.00002282829,0.00006932551,0.0001141766,0.00004951946],"category_scores_gemma":[0.00001934808,0.000134588,0.00002383727,0.0001672497,0.00007275584,0.0001180562,0.00003461583,0.0000870681,0.00001796945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004483067,"about_ca_system_score_gemma":0.00000231787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009856164,"about_ca_topic_score_gemma":0.00003205431,"domain_scores_codex":[0.9993212,0.00005004478,0.0001365509,0.0001887431,0.00009879839,0.0002046613],"domain_scores_gemma":[0.9997094,0.00005416282,0.00002001643,0.0001439142,0.000001171268,0.00007136403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004313649,0.0002596136,0.0293699,0.0001724522,0.00005806804,0.000005308576,0.0003100944,0.08819985,0.02755653,0.006846094,0.001642626,0.8455364],"study_design_scores_gemma":[0.001348886,0.0002279013,0.04924882,0.00008454601,0.00001724021,0.00001287378,0.00007905963,0.5667319,0.08169967,0.002630082,0.2973912,0.000527863],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600545,0.001279561,0.03622942,0.00004282027,0.000101666,0.0001399076,0.000006874145,0.0001888807,0.00195634],"genre_scores_gemma":[0.9966115,0.00266864,0.00006347667,0.00006272961,0.00003749103,0.00007738441,0.0001551049,0.0000234446,0.0003001743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8450085,"threshold_uncertainty_score":0.5488338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006632966757054582,"score_gpt":0.1952134809542998,"score_spread":0.1885805141972452,"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."}}