{"id":"W2910292083","doi":"10.1201/9781351073868-2","title":"Base Recovery from Spent Sulfite Liquor","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sulfite; Base (topology); Chemistry; Inorganic chemistry; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171273,0.0006039169,0.0003449508,0.001205028,0.0003076627,0.0009996702,0.0005627474,0.0004594066,0.01141225],"category_scores_gemma":[0.000132528,0.0002166847,0.0003144437,0.001049899,0.0001715583,0.0008447567,0.0004593063,0.0007985903,0.009840458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299867,"about_ca_system_score_gemma":0.0003177298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101561,"about_ca_topic_score_gemma":0.002182362,"domain_scores_codex":[0.9998825,0.000004027754,0.000004588579,0.00001676174,0.00008007522,0.00001206776],"domain_scores_gemma":[0.9999623,0.000006488761,0.000003109446,0.000004511145,0.00001701813,0.00000656585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001870045,0.0001488129,0.0001691996,0.001547669,0.00002485883,0.0006748957,0.0003462974,0.002225352,0.4524123,0.01571264,0.02254345,0.5040076],"study_design_scores_gemma":[0.000008384201,0.0001356498,0.0003569847,0.0001553148,0.00001335406,0.0005400424,0.00008314946,0.0007633973,0.4026965,0.002136849,0.5930898,0.00002062845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1346591,0.1030781,0.07247074,0.001502853,0.001535866,0.0002056399,0.002334411,0.002655582,0.6815578],"genre_scores_gemma":[0.1336894,0.06000813,0.02392985,0.0003417752,0.0001680112,0.0000552454,0.002331244,0.0008084695,0.7786678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01141225,"threshold_uncertainty_score":0.03817773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274447707457879,"score_gpt":0.2087756896233148,"score_spread":0.186031212548736,"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."}}