{"id":"W4394030924","doi":"10.5281/zenodo.7753141","title":"Design Strategies for Oxy-Combustion Power Plant Captured CO2 Purification","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Oxy-fuel; Combustion; Power station; Environmental science; Process engineering; Computer science; Waste management; Chemistry; Engineering; Electrical engineering; Organic chemistry","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":[0.0009762434,0.002981127,0.0008423714,0.002281561,0.000597985,0.001589954,0.002230768,0.002005933,0.04286401],"category_scores_gemma":[0.004087651,0.000619335,0.002342402,0.001998309,0.000239696,0.0009485426,0.0009033319,0.001334334,0.04820934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805724,"about_ca_system_score_gemma":0.001410121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591632,"about_ca_topic_score_gemma":0.0475749,"domain_scores_codex":[0.9990196,0.0001488336,0.00007399152,0.000336582,0.0002842074,0.0001368704],"domain_scores_gemma":[0.9984161,0.0005611927,0.0001003261,0.0004595591,0.000363051,0.00009987854],"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":[0.0002332209,0.0001164265,0.00215055,0.001914341,0.00009656163,0.00005757497,0.00001902447,0.01154139,0.0006771428,0.001124696,0.9708299,0.01123937],"study_design_scores_gemma":[0.000955629,0.0002440282,0.01252236,0.0005687578,0.0001568506,0.0001784882,0.0001162858,0.04661509,0.005228661,0.00703184,0.9262877,0.00009447578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001709113,0.0003291366,0.000847142,0.0001198197,0.00007562333,0.00003976767,0.9913833,0.002411657,0.003084331],"genre_scores_gemma":[0.003056317,0.0001182425,0.001621439,0.000051009,0.000009180776,0.00008117811,0.9935098,0.0001699705,0.001382857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04286401,"threshold_uncertainty_score":0.1433945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362710598346695,"score_gpt":0.2231821505669467,"score_spread":0.1895550445834798,"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."}}