{"id":"W4415945046","doi":"10.1007/978-3-032-00182-5_31","title":"CLEVR Process™—Parametric and Technology Transfer Interlaboratory Study","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cegep de Thetford","funders":"","keywords":"Gold extraction; Chlorine; Bromine; Gravimetric analysis; Gold cyanidation; Halide; Gold mining","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":[0.001854161,0.0009232849,0.000910347,0.002357366,0.001580731,0.00315269,0.001890556,0.001880721,0.02715044],"category_scores_gemma":[0.0009484515,0.0006321107,0.0008191406,0.002265276,0.0008139807,0.00196214,0.001284004,0.001484048,0.01021317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738218,"about_ca_system_score_gemma":0.001391114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006461778,"about_ca_topic_score_gemma":0.007266406,"domain_scores_codex":[0.9982042,0.0002403623,0.00004309923,0.0003628246,0.001058373,0.0000911474],"domain_scores_gemma":[0.9994136,0.0002258832,0.00002682806,0.0001081386,0.0001979873,0.00002753358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003374406,0.0001911231,0.001148066,0.0005648889,0.00003315685,0.0004256765,0.0005794668,0.006026671,0.05765203,0.04080075,0.09251036,0.7997303],"study_design_scores_gemma":[0.00001397254,0.0002308773,0.005888415,0.000136549,0.00001981182,0.0008642858,0.0002707491,0.004400849,0.04922874,0.006009694,0.9328758,0.00006017562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02891299,0.03717009,0.09350261,0.00195364,0.002097208,0.0003144009,0.002210138,0.002290329,0.8315486],"genre_scores_gemma":[0.08012576,0.009149697,0.04219488,0.0004186634,0.0004089194,0.000213606,0.002513443,0.0009321486,0.8640429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02715044,"threshold_uncertainty_score":0.09082723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008338512504584356,"score_gpt":0.2272857485420339,"score_spread":0.2189472360374496,"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."}}