{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009321924,0.0004371835,0.0001869456,0.0008504904,0.0006273019,0.001364229,0.0003160257,0.0006724666,0.004015635],"category_scores_gemma":[0.0001335794,0.0001262262,0.0001731494,0.00146425,0.0005192719,0.001031425,0.0004475995,0.0003594788,0.0009414694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226458,"about_ca_system_score_gemma":0.001316624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102156,"about_ca_topic_score_gemma":0.009054062,"domain_scores_codex":[0.9997544,0.00001068037,0.000007162573,0.00004545544,0.0001474997,0.00003480944],"domain_scores_gemma":[0.9999487,0.000008232121,0.000007122941,0.000007009267,0.00002391398,0.000004912366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006962113,0.0001033103,0.002359805,0.0009739564,0.00002285077,0.000604161,0.0003204964,0.011248,0.1430969,0.2381712,0.02242954,0.5806001],"study_design_scores_gemma":[0.00001732229,0.0001882862,0.005668142,0.0001833383,0.00003315497,0.001082756,0.000502314,0.03737468,0.1886519,0.03378557,0.7324435,0.00006917612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1478949,0.03686689,0.2136813,0.004881181,0.001494597,0.0003763146,0.0007487437,0.001633001,0.5924231],"genre_scores_gemma":[0.7321455,0.03291761,0.04594795,0.0005867615,0.0003364925,0.0001482346,0.0006106139,0.0001901837,0.1871167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01102156,"threshold_uncertainty_score":0.02191478,"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."}}