{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009235954,0.0004134591,0.0003870556,0.0004674652,0.0006283587,0.001583379,0.0008961115,0.001252352,0.004046542],"category_scores_gemma":[0.0008710897,0.0002920815,0.0003669019,0.0003985349,0.001332528,0.002740568,0.001167819,0.00120144,0.001222636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007074609,"about_ca_system_score_gemma":0.0009818634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061231,"about_ca_topic_score_gemma":0.002364503,"domain_scores_codex":[0.9994631,0.00008468558,0.00002782779,0.0001624639,0.0002009079,0.00006097685],"domain_scores_gemma":[0.9995751,0.00009540139,0.00007747672,0.00006333189,0.0001451935,0.0000435795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003612408,0.0004164282,0.0008938655,0.0003274297,0.00002424082,0.00007061323,0.0001697904,0.004346818,0.9105247,0.01606656,0.001191475,0.06560691],"study_design_scores_gemma":[0.00009432173,0.001217418,0.001803241,0.00007016445,0.00004048804,0.0001268935,0.0003370357,0.02700629,0.8988339,0.02302937,0.04738769,0.00005326013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5615448,0.002657393,0.4192056,0.001797682,0.0004623257,0.0002571189,0.0002734628,0.00139526,0.01240642],"genre_scores_gemma":[0.8151635,0.001937629,0.1549775,0.0005766133,0.0001213857,0.0001557554,0.0003673719,0.0002056182,0.02649457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004046542,"threshold_uncertainty_score":0.01353699,"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."}}