{"id":"W4406901169","doi":"10.1007/s42461-025-01175-7","title":"Gold Recovery via High-Temperature Chlorination","year":2025,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001667956,0.0001600757,0.0001638788,0.0002636441,0.0000930403,0.0001353128,0.00008421879,0.0001339606,0.0001204641],"category_scores_gemma":[0.00006553385,0.000171874,0.00005062527,0.0005260177,0.00001352352,0.001382119,0.00001124684,0.0001382996,0.0001176735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000780077,"about_ca_system_score_gemma":0.00002984184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005785179,"about_ca_topic_score_gemma":0.00004036615,"domain_scores_codex":[0.9991667,0.00003152818,0.0002987778,0.0001989436,0.0001581198,0.0001459472],"domain_scores_gemma":[0.9995686,0.00005562574,0.00004997848,0.0001677459,0.0001221359,0.00003591523],"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":[0.00009034533,0.00013727,0.00007025052,0.0002943957,0.0003294979,0.000009785205,0.001569877,0.3066273,0.4900103,0.01393154,0.04155264,0.1453768],"study_design_scores_gemma":[0.001663373,0.00020936,0.00173389,0.0002683059,0.000225943,0.00001471963,0.001451037,0.08246323,0.568482,0.02793085,0.3142528,0.001304447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5949258,0.0008781176,0.3399605,0.001865646,0.006303175,0.0004492797,0.000006792593,0.002010851,0.05359986],"genre_scores_gemma":[0.9896845,0.0002315608,0.001367997,0.0001989502,0.0001426723,0.0001054201,0.0001745475,0.00002273486,0.008071649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3947587,"threshold_uncertainty_score":0.7008817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246436408238404,"score_gpt":0.2320049884489027,"score_spread":0.2195406243665187,"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."}}