{"id":"W7139441397","doi":"","title":"Carbon Capture and Storage : Research on capturing carbon from emissions of UBC BRDF","year":2020,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon capture and storage (timeline); Carbon fibers; Climate change; Fugitive emissions; Greenhouse gas removal; Global warming; Atmosphere (unit)","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":[0.001533687,0.0006464438,0.0006041241,0.002868675,0.002450913,0.003533686,0.001041314,0.001153229,0.01168304],"category_scores_gemma":[0.002385432,0.0002978866,0.0006163641,0.006295469,0.001612233,0.00457355,0.001079881,0.001399636,0.001691089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01030815,"about_ca_system_score_gemma":0.006082037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1972928,"about_ca_topic_score_gemma":0.1947016,"domain_scores_codex":[0.998791,0.00009359196,0.0000249996,0.0001331521,0.0007426844,0.0002145641],"domain_scores_gemma":[0.9989465,0.0002196468,0.00004443895,0.00010413,0.0006429235,0.00004242935],"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":[0.0005467015,0.0006247911,0.01007618,0.002501974,0.0001153006,0.0005040424,0.001833058,0.006553893,0.03425504,0.2283206,0.04532448,0.669344],"study_design_scores_gemma":[0.00008765286,0.000461171,0.01711694,0.002304185,0.0001590444,0.0007808861,0.004879675,0.01091679,0.1201097,0.04357269,0.7994178,0.0001935614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1724983,0.2133981,0.01950823,0.01103783,0.001365406,0.0003461731,0.001937028,0.0004236667,0.5794852],"genre_scores_gemma":[0.772934,0.127221,0.01493509,0.001558179,0.0002011711,0.0001446731,0.001330555,0.0002265133,0.08144877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1972928,"threshold_uncertainty_score":0.3922887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04619170098308223,"score_gpt":0.2560710570535502,"score_spread":0.209879356070468,"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."}}