{"id":"W2323906322","doi":"10.1002/ese3.117","title":"The progressive routes for carbon capture and sequestration","year":2016,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon sequestration; Greenhouse gas; Greenhouse gas removal; Environmental science; Global warming; Fossil fuel; Bio-energy with carbon capture and storage; Carbon fibers; Biochar; Biofuel; Carbon capture and storage (timeline); Climate change mitigation; Climate change; Environmental protection; Waste management; Carbon dioxide; Chemistry; Ecology; Engineering; Pyrolysis; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005410575,0.0003468365,0.0002008612,0.0007276682,0.0005782045,0.001415874,0.0005105435,0.0007513332,0.004475269],"category_scores_gemma":[0.0003529394,0.0001361254,0.000282657,0.001069037,0.001343928,0.001763137,0.001048682,0.001107779,0.001121501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194405,"about_ca_system_score_gemma":0.001239566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010906,"about_ca_topic_score_gemma":0.001711104,"domain_scores_codex":[0.9995958,0.000075093,0.00001508217,0.00007122604,0.0001927363,0.00005011712],"domain_scores_gemma":[0.9997299,0.00006162935,0.00004610048,0.00003883509,0.0001009246,0.00002248975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001169582,0.0001379559,0.007788047,0.001815752,0.00008398194,0.0007217096,0.0005388686,0.00554487,0.1305656,0.514749,0.007877048,0.3300602],"study_design_scores_gemma":[0.00002352062,0.000431506,0.01571746,0.0007343126,0.0000705788,0.002079692,0.00191306,0.007463307,0.1363834,0.2083553,0.6267133,0.0001145714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3694648,0.1954437,0.0995706,0.02570663,0.001159839,0.0002578091,0.001051177,0.0005353919,0.30681],"genre_scores_gemma":[0.8702611,0.06225987,0.02662953,0.001194129,0.0002950432,0.0001014978,0.0002801906,0.00004572097,0.03893289],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004475269,"threshold_uncertainty_score":0.01497126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003984608838305081,"score_gpt":0.1833899750881965,"score_spread":0.1794053662498914,"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."}}