{"id":"W4311351511","doi":"10.3390/su142416666","title":"Biogenic Production of Thiosulfate from Organic and Inorganic Sulfur Substrates for Application to Gold Leaching","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thiosulfate; Chemistry; Sulfur; Sulfide; Sodium thiosulfate; Reagent; Bioleaching; Leaching (pedology); Sulfide minerals; Sodium sulfide; Inorganic chemistry; Hydrogen sulfide; Tetrathionate; Environmental chemistry; Copper; Organic chemistry; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003036857,0.0005546504,0.0004136281,0.0002375542,0.000142379,0.0003436559,0.0002647336,0.0003620797,0.0004266149],"category_scores_gemma":[0.0002579422,0.0001400474,0.000418719,0.0003679254,0.0001712285,0.0001903572,0.0004139024,0.0002507049,0.0001938287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798116,"about_ca_system_score_gemma":0.0003358073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009560311,"about_ca_topic_score_gemma":0.002354697,"domain_scores_codex":[0.9997044,0.00005637109,0.0000388637,0.00004704235,0.0001216154,0.00003169395],"domain_scores_gemma":[0.9998842,0.00001810149,0.00003183392,0.00001231784,0.00003700097,0.00001651557],"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":[0.00001822453,0.00001322037,0.0001964911,0.00005787227,0.00000321426,0.00003123392,0.00000909337,0.00006008858,0.998534,0.00001759504,0.000007296325,0.001051764],"study_design_scores_gemma":[0.000003287517,0.00026709,0.001099377,0.000007100095,0.00001031488,0.00005694544,0.00003039512,0.0003226462,0.9976107,0.00001568644,0.0005732271,0.000003130085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928014,0.000788132,0.004603821,0.00009947213,0.00002711317,0.00007547232,0.0002543399,0.0000549298,0.001295293],"genre_scores_gemma":[0.9831303,0.001158516,0.01353258,0.0000305937,0.000009036015,0.00005444927,0.0005193173,0.00002127947,0.001543882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009560311,"threshold_uncertainty_score":0.002030194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006473568751553457,"score_gpt":0.2246532688570475,"score_spread":0.218179700105494,"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."}}