{"id":"W1633461443","doi":"10.1007/978-3-642-02682-9_86","title":"Hydration and Pelletization of CaCO3-Derived Sorbents for In-Situ CO2 Capture","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sorbent; Carbonation; Thermogravimetric analysis; Pelletizing; Grinding; Materials science; Calcium looping; Chemical engineering; In situ; Combustion; Waste management; Chemistry; Composite material; Adsorption; Engineering; Pellets; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002054873,0.0001499031,0.0002179882,0.00004762046,0.000008435532,0.000007326362,0.00004542925,0.0002634712,0.00003097534],"category_scores_gemma":[0.00001558119,0.0001476969,0.00003466105,0.00001483309,0.00002049503,0.00002819969,0.000008327956,0.0001101143,0.000001901876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000295618,"about_ca_system_score_gemma":0.000008030606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003673981,"about_ca_topic_score_gemma":0.00001598593,"domain_scores_codex":[0.999513,9.600664e-7,0.0001970477,0.0001348334,0.00007039657,0.00008381032],"domain_scores_gemma":[0.9997805,0.00003684061,0.00003889693,0.000072951,0.00004119589,0.00002964054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004381391,0.00002356816,0.00000543948,0.001888266,0.00006872972,0.000001444554,0.0002437181,0.001448799,0.9655104,0.01457678,0.001301253,0.0148878],"study_design_scores_gemma":[0.001165404,0.00005598663,0.00002453137,0.0009147695,0.00008820691,0.000003570764,0.00001602913,0.004767809,0.9080421,0.06970083,0.01447647,0.0007443321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02211673,0.002493943,0.004861786,0.00009462219,0.0000960883,0.0005008444,0.00002580963,0.0001974264,0.9696127],"genre_scores_gemma":[0.9765159,0.0004053301,0.0004416069,0.00003757824,0.00006001635,0.000005056103,0.0001818907,0.00003980797,0.02231277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9543992,"threshold_uncertainty_score":0.6022907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268548826160986,"score_gpt":0.1943312627496176,"score_spread":0.1860627139234566,"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."}}