{"id":"W3154862829","doi":"10.2139/ssrn.3366115","title":"Quest Carbon Capture and Storage (Ccs) Offset Project","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Carbon capture and storage (timeline); Carbon offset; Offset (computer science); Environmental science; Computer science; Business; Waste management; Greenhouse gas; Engineering; Climate change; Geology; Operating system","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":[0.001485098,0.0007508862,0.0005072779,0.000694739,0.0007968419,0.001241494,0.0008678942,0.0009059052,0.0352583],"category_scores_gemma":[0.001234811,0.0001538535,0.0003110067,0.0006030116,0.0005602741,0.001326555,0.001702405,0.001096209,0.00730479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698127,"about_ca_system_score_gemma":0.00447078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002480442,"about_ca_topic_score_gemma":0.00274956,"domain_scores_codex":[0.9994026,0.00008537522,0.000008345953,0.00007911973,0.0002899864,0.0001345898],"domain_scores_gemma":[0.9990895,0.0001402974,0.00005081384,0.0001125418,0.0003327358,0.000274115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00798724,0.001113723,0.00508334,0.0009272843,0.0001303036,0.0003749547,0.000147199,0.004045239,0.03944326,0.1929957,0.4739291,0.2738226],"study_design_scores_gemma":[0.001786743,0.003091714,0.006361566,0.000236497,0.0001063034,0.000590266,0.0001755424,0.0190083,0.1085327,0.03903072,0.8210142,0.0000655029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1229331,0.007078815,0.02024947,0.01304545,0.003212698,0.0005921146,0.05811441,0.004485381,0.7702886],"genre_scores_gemma":[0.6011336,0.00302085,0.03292178,0.004118073,0.0005180212,0.0006104244,0.05623968,0.000991639,0.3004459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0352583,"threshold_uncertainty_score":0.1179507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005311463805699974,"score_gpt":0.2238816640072366,"score_spread":0.2185702002015367,"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."}}