{"id":"W4297683034","doi":"10.21203/rs.3.rs-1976812/v1","title":"Consolidation behavior of various types of slurry tailings co-disposed with waste rock inclusions: a numerical study","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Tailings; Consolidation (business); Geotechnical engineering; Environmental science; Geology; Materials science; Metallurgy","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":[0.0008922901,0.00023318,0.0004825064,0.000556657,0.0001924426,0.00004960076,0.0005419809,0.0001192044,0.0005263679],"category_scores_gemma":[0.0001319185,0.0002031995,0.00008576556,0.0004995752,0.00007792763,0.00007923898,0.001423858,0.001098127,0.00001101771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567458,"about_ca_system_score_gemma":0.0001669858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006217915,"about_ca_topic_score_gemma":0.00003844799,"domain_scores_codex":[0.9972728,0.0002930525,0.0004668281,0.0003562435,0.001267515,0.0003434942],"domain_scores_gemma":[0.9986339,0.0001846066,0.000126697,0.0006009898,0.0003787622,0.00007508845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002040445,0.003991017,0.2342684,0.01444312,0.001592886,0.0003022474,0.03717931,0.6872219,0.009740495,0.0003221414,0.002152022,0.006746049],"study_design_scores_gemma":[0.01606091,0.02909078,0.184102,0.008442285,0.002831419,0.00002926789,0.1994819,0.4534267,0.07183892,0.001277237,0.02661232,0.006806252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943905,0.0009351268,0.0004315864,0.00002508354,0.0001066038,0.002404,0.00007783937,0.0001389323,0.001490368],"genre_scores_gemma":[0.9984139,0.0001113057,0.0001700092,0.000001436734,0.00004340951,0.0005625795,0.0001441968,0.00006423173,0.000488927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337952,"threshold_uncertainty_score":0.8286236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.041487628161026,"score_gpt":0.3394567224756875,"score_spread":0.2979690943146615,"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."}}