{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002662392,0.0004645769,0.0001492654,0.002989277,0.001072642,0.0007309128,0.0003946185,0.000293247,0.00611131],"category_scores_gemma":[0.0002503796,0.0001575552,0.0004355193,0.00481538,0.0003701633,0.0006001147,0.0009324703,0.0002216642,0.0003317306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003353791,"about_ca_system_score_gemma":0.004228774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1002627,"about_ca_topic_score_gemma":0.0967306,"domain_scores_codex":[0.9997092,0.0000196371,0.00002753695,0.00004939036,0.00009082267,0.0001034226],"domain_scores_gemma":[0.9998683,0.00001259585,0.00004358521,0.00001434009,0.00004033203,0.00002082278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006437977,0.0002359188,0.2824052,0.003245601,0.0003274984,0.008657162,0.003735435,0.009447797,0.05274568,0.06742587,0.01827988,0.5528502],"study_design_scores_gemma":[0.00004140929,0.0003990255,0.4787008,0.0003679801,0.0001918678,0.002416359,0.00278125,0.005476561,0.02765984,0.006492067,0.4753575,0.0001153435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063353,0.01072384,0.002796762,0.001460402,0.00009529522,0.00009515192,0.0022001,0.0001963699,0.07609668],"genre_scores_gemma":[0.9637011,0.01050401,0.001435091,0.0002757517,0.00003866846,0.00003655379,0.001493189,0.00003496737,0.02248062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1002627,"threshold_uncertainty_score":0.1993582,"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."}}