{"id":"W3021249061","doi":"10.1016/j.mtcomm.2020.101221","title":"Alkaline dissolution potential of aluminosilicate minerals for the geosynthesis of mine paste backfill","year":2020,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Tailings Management and Properties","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Aluminosilicate; Geopolymer; Dissolution; Tailings; Materials science; Crystallization; Mineral; Mineralogy; Chemical engineering; Metallurgy; Compressive strength; Geology; Chemistry; Composite material; Organic chemistry","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":[0.0002173902,0.00009851634,0.0002119089,0.00003016502,0.00007563097,0.00001951636,0.0006227198,0.00003590307,0.0001440297],"category_scores_gemma":[0.00007717043,0.00007470223,0.00006515418,0.00009373583,0.0001006637,0.00007244588,0.0001777172,0.00003190762,0.000009320134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006263517,"about_ca_system_score_gemma":0.000004771833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008975137,"about_ca_topic_score_gemma":0.00001598655,"domain_scores_codex":[0.9992773,0.00005341338,0.0004053179,0.00007707207,0.00007430194,0.0001126103],"domain_scores_gemma":[0.9989782,0.0001381183,0.0001196339,0.0006681093,0.00007238657,0.00002356504],"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":[0.00003777396,0.0000240271,0.0000124177,0.0002844027,0.00008292367,3.123748e-8,0.0003288597,0.002737654,0.9918019,0.0005843403,0.002965486,0.001140163],"study_design_scores_gemma":[0.0004579269,0.00008541219,0.001155115,0.00006270997,0.000303783,5.098828e-7,0.0002678406,0.04869417,0.8660672,0.0001755936,0.08251489,0.0002148142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672948,0.003039295,0.010103,0.01540664,0.0003462244,0.001331607,0.0008178361,0.0002233004,0.001437289],"genre_scores_gemma":[0.996044,0.0007971304,0.002659149,0.00004558907,0.00006360382,0.0000948493,0.0001146864,0.00002067624,0.0001603265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257347,"threshold_uncertainty_score":0.3046269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748403091696957,"score_gpt":0.2335336645063905,"score_spread":0.1960496335894209,"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."}}