{"id":"W3092448890","doi":"10.1007/bf02816001","title":"CrossRef Listing of Deleted DOIs","year":2008,"lang":"en","type":"article","venue":"CrossRef Listing of Deleted DOIs","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Leaching (pedology); Chalcopyrite; Ferric; Chloride; Sulfate; Sulfur; Sulfuric acid; Lixiviant; Hydrochloric acid; Chemistry; Inorganic chemistry; FERRIC IRON; Mineralogy; Geology; Metallurgy; Materials science; Copper; Soil science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004975148,0.00194821,0.001498756,0.01691516,0.001834874,0.003366417,0.001649392,0.001419232,0.04055507],"category_scores_gemma":[0.02734186,0.0007865371,0.001368762,0.01802374,0.0005345324,0.004055535,0.00221632,0.002140958,0.02853635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462268,"about_ca_system_score_gemma":0.005788907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006762323,"about_ca_topic_score_gemma":0.006848057,"domain_scores_codex":[0.9944941,0.0007858112,0.001952748,0.0005425469,0.001858771,0.0003658795],"domain_scores_gemma":[0.9499087,0.01031686,0.00468109,0.008662972,0.0254421,0.0009881575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00126484,0.0004686097,0.01823336,0.008849056,0.0001835385,0.002411463,0.00269903,0.001802646,0.03007216,0.02036651,0.675005,0.2386438],"study_design_scores_gemma":[0.00004294727,0.00005125846,0.005353134,0.0006779362,0.00009495015,0.0005572691,0.0005373931,0.001148784,0.01812893,0.002389023,0.9709456,0.00007265889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04095454,0.003664625,0.07858185,0.002991925,0.006947595,0.001046148,0.7657344,0.02880719,0.07127174],"genre_scores_gemma":[0.04250798,0.003014349,0.1087537,0.000955546,0.0007011201,0.0004886024,0.8013007,0.00654805,0.03572996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9966336,"threshold_uncertainty_score":0.1356702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548110190018232,"score_gpt":0.214208347679609,"score_spread":0.1887272457794267,"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."}}