{"id":"W2999607055","doi":"","title":"Towards closed water loops, ore sorting and tailings valorization for more sustainable raw material supply","year":2018,"lang":"en","type":"article","venue":"","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Outotec (Canada)","funders":"","keywords":"Tailings; Raw material; Sorting; Environmental science; Raw water; Water supply; Sustainability; Waste management; Natural resource economics; Environmental engineering; Engineering; Metallurgy; Chemistry; Ecology; Economics; Computer science; Materials 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002426184,0.00009144958,0.00008749755,0.00002684319,0.0002002074,0.00009872159,0.00007373852,0.00005636703,0.004210863],"category_scores_gemma":[0.00003366902,0.00006517067,0.00001992558,0.0000587697,0.0001235492,0.0003170506,0.0000789717,0.00002172994,0.00004559807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003951713,"about_ca_system_score_gemma":0.000006327079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004431304,"about_ca_topic_score_gemma":0.00004651007,"domain_scores_codex":[0.9992244,0.00001575247,0.000191457,0.0002083735,0.0001318477,0.0002281673],"domain_scores_gemma":[0.9997687,0.0000069649,0.00003973756,0.00009073916,0.00004309919,0.0000506991],"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":[0.000122481,0.00003942802,0.003741093,0.00004342172,0.000006692413,0.000001726425,0.003831093,0.00002746445,0.9490988,0.008942625,0.02905543,0.005089779],"study_design_scores_gemma":[0.0003299917,0.0001433625,0.001217352,0.000002693267,0.000006795898,0.000001845859,0.0004538552,0.006092363,0.9635199,0.005930422,0.02215411,0.0001473387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604762,0.000001267131,0.02941528,0.0009899792,0.00007505086,0.0005326825,0.000002714851,0.0001503581,0.008356435],"genre_scores_gemma":[0.976972,0.000002721675,0.008049005,0.0006522411,0.0001120635,0.00005440282,0.00008925939,0.0000126965,0.01405557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02136627,"threshold_uncertainty_score":0.9966995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008322170907816501,"score_gpt":0.2578075456249325,"score_spread":0.249485374717116,"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."}}