{"id":"W4206660088","doi":"10.1002/cjce.24365","title":"Two‐step thermal decomposition mechanism of phosphogypsum for resource utilization","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Phosphogypsum; Oxidizing agent; Decomposition; Thermal decomposition; Chemical process of decomposition; Anhydrous; Chemistry; Reducing agent; Process (computing); Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002978037,0.00005376268,0.00009325991,0.00005939261,0.00009944438,0.00001348592,0.0001991275,0.00001570371,0.0002841137],"category_scores_gemma":[0.0000560373,0.00004167753,0.00004683563,0.0001314805,0.0000173137,0.00004966874,0.000005483009,0.0001442337,6.771181e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001950463,"about_ca_system_score_gemma":0.0001333108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737286,"about_ca_topic_score_gemma":0.0003706825,"domain_scores_codex":[0.9994895,0.00001437757,0.0001666898,0.00005302632,0.0001302551,0.0001461874],"domain_scores_gemma":[0.9996312,0.0000616091,0.0000797918,0.00006445081,0.00004595014,0.0001170503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002476535,0.00001796981,0.001086933,0.0000938435,0.0001055667,0.00002982074,0.001315543,0.7661154,0.1898935,0.006018942,0.001828809,0.03324611],"study_design_scores_gemma":[0.001385571,0.0005025959,0.003021309,0.00007804523,0.0001129776,0.0004750191,0.0002516369,0.4525774,0.5045134,0.001837294,0.03482973,0.0004149669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967853,0.000686553,0.0009616805,0.0008084636,0.000343909,0.00009411916,0.00005270592,0.000005090854,0.0002621286],"genre_scores_gemma":[0.9991925,6.510588e-7,0.0005533061,0.00007463976,0.0001391426,4.995152e-7,0.0000192885,0.000003585375,0.00001644042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.31462,"threshold_uncertainty_score":0.3110846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374365838961694,"score_gpt":0.1894741514149962,"score_spread":0.1757304930253792,"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."}}