{"id":"W4206737472","doi":"10.1002/cjce.24368","title":"Precipitation of lithium phosphate from lithium solution by using sodium phosphate","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Institute of Geoscience and Mineral Resources","keywords":"Lithium (medication); Precipitation; Chemistry; Distilled water; Hydrolysis; Phosphate; Sodium; Nuclear chemistry; Inorganic chemistry; Chromatography; 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":[0.0002415325,0.000114981,0.0001718043,0.0001010336,0.00009960424,0.00003814197,0.0002142207,0.00005197773,0.0001765498],"category_scores_gemma":[0.00007115236,0.000111852,0.00007171327,0.0002244045,0.00002793495,0.0002110039,0.00001145494,0.000424217,0.000001606761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172512,"about_ca_system_score_gemma":0.0001765639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009493057,"about_ca_topic_score_gemma":0.00003680624,"domain_scores_codex":[0.9990821,0.00001675832,0.0003992832,0.00007011314,0.0002266204,0.0002050779],"domain_scores_gemma":[0.9994012,0.00007318005,0.0001343368,0.00009695639,0.0001035238,0.0001907909],"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":[0.00001421567,0.000006564598,0.00003582045,0.00002982045,0.00005709931,0.000004102924,0.0008614062,0.4057462,0.5895441,0.00007317309,0.003281523,0.0003460234],"study_design_scores_gemma":[0.0002921173,0.0000226058,0.00003123312,0.00004078228,0.00004340967,0.00004183887,0.00008059065,0.2533072,0.7265559,0.0001456043,0.01927621,0.0001624281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776768,0.006252304,0.01340208,0.0004097692,0.00161862,0.0001126122,0.00008846695,0.00005346786,0.0003859006],"genre_scores_gemma":[0.9991425,0.00001238913,0.0005731815,0.00004508932,0.000116069,0.000003899666,0.00001470127,0.00002679547,0.0000653902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.152439,"threshold_uncertainty_score":0.4561192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140648724139495,"score_gpt":0.2071950799962843,"score_spread":0.1957885927548894,"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."}}