{"id":"W2347712860","doi":"","title":"CARBON DIOXIDE GROUND PROCESSING,STORAGE AND TRANSPORTATION","year":2008,"lang":"en","type":"article","venue":"Tianranqi gongye","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Enhanced oil recovery; Pipeline transport; Engineering; Carbon dioxide; Pipeline (software); Carbon capture and storage (timeline); Waste management; Process engineering; Environmental science; Petroleum engineering; Transport engineering; Automotive engineering; Environmental engineering; Mechanical engineering; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00004882098,0.000184188,0.0001995205,0.0001126699,0.00003052221,0.00001446933,0.0001113367,0.0001451619,0.000010753],"category_scores_gemma":[0.00001351198,0.000190704,0.00003841184,0.0001915603,0.0001251613,0.0001446259,0.000006635087,0.00020234,0.000006156321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005307984,"about_ca_system_score_gemma":0.00001296125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000920559,"about_ca_topic_score_gemma":0.0001039758,"domain_scores_codex":[0.9992341,0.000006229807,0.0001881806,0.0001958638,0.0001442881,0.0002313729],"domain_scores_gemma":[0.9996704,0.00001697292,0.00002754042,0.0002038926,0.00002388893,0.00005733049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001875301,0.0002196632,0.03565353,0.002632719,0.0004201995,0.002828592,0.0221225,0.01648084,0.7973023,0.003438918,0.004293484,0.1144197],"study_design_scores_gemma":[0.003262401,0.0002006526,0.7747817,0.0002783159,0.0002218917,0.0006572354,0.001652983,0.03025982,0.1650475,0.00182573,0.01910458,0.002707147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897063,0.004061453,0.0005004856,0.00006130245,0.0001221497,0.0001389768,0.000006241341,0.001683965,0.003719108],"genre_scores_gemma":[0.9988738,0.000255367,0.0004778582,0.00002807662,0.00005554008,0.00002542937,0.000008368899,0.00004565437,0.0002298885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7391282,"threshold_uncertainty_score":0.7776682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009175445156679852,"score_gpt":0.1855623615147938,"score_spread":0.176386916358114,"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."}}