{"id":"W4389561162","doi":"10.7185/gold2023.20210","title":"Ni recovery by precipitation of amorphous Ca-, Ca-Mg- and Mg-carbonates and their crystalline transformation products","year":2023,"lang":"en","type":"article","venue":"","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precipitation; Amorphous solid; Transformation (genetics); Chemical engineering; Magnesium; Chemistry; Materials science; Mineralogy; Crystallography; Metallurgy; Meteorology; Physics","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":[0.0000879904,0.0001762552,0.0001704924,0.0001622836,0.0001951329,0.0002665485,0.0002188553,0.0001423788,0.000901719],"category_scores_gemma":[0.0002081026,0.0001059304,0.0001344801,0.0002569871,0.0001159326,0.0001878879,0.0001434138,0.0002525664,0.0002250965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330287,"about_ca_system_score_gemma":0.0003469727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003874564,"about_ca_topic_score_gemma":0.006839845,"domain_scores_codex":[0.999928,0.000006129232,0.000006947649,0.00002000235,0.00002139598,0.00001756719],"domain_scores_gemma":[0.9999548,0.000007710543,0.000009659647,0.000008318167,0.00001318442,0.000006237367],"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":[0.0003700012,0.00002853038,0.0006763177,0.00006330672,0.000008082074,0.00005502303,0.00006411988,0.000367659,0.9932609,0.0001998839,0.0001020279,0.004804167],"study_design_scores_gemma":[0.000008005602,0.00004908086,0.0009580706,0.000001966347,0.000005573051,0.00003109151,0.0000210351,0.001129298,0.9963063,0.00002603798,0.001460966,0.000002596501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935583,0.0004538101,0.002261484,0.00004190109,0.00001596446,0.00001824472,0.0001508719,0.00006240137,0.003436905],"genre_scores_gemma":[0.9965448,0.000150593,0.0009797791,0.000005800629,0.000003056227,0.000004754742,0.0001662518,0.00001609595,0.002128797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003874564,"threshold_uncertainty_score":0.00770402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559060237228881,"score_gpt":0.2108435790033321,"score_spread":0.1952529766310432,"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."}}