{"id":"W2571673100","doi":"10.1021/acs.iecr.6b04348","title":"Dewatering Oil Sands Mature Fine Tailings (MFTs) with Poly(acrylamide-<i>co</i>-diallyldimethylammonium chloride): Effect of Average Molecular Weight and Copolymer Composition","year":2017,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Government of Alberta","keywords":"Copolymer; Dewatering; Chemical engineering; Acrylamide; Flocculation; Comonomer; Polymer; Materials science; Monomer; Tailings; Composition (language); Chemistry; Polymer chemistry; Composite material; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000216406,0.0003403088,0.0002046565,0.0001607184,0.0001121325,0.0002239083,0.000134818,0.0001988835,0.0003486463],"category_scores_gemma":[0.0003079283,0.0001069378,0.0002166556,0.000108282,0.0001350216,0.0003009106,0.0001711121,0.0003290912,0.0001059538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042475,"about_ca_system_score_gemma":0.000145707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110466,"about_ca_topic_score_gemma":0.00287358,"domain_scores_codex":[0.9998907,0.00001245859,0.00001195206,0.0000285819,0.00003334003,0.00002301532],"domain_scores_gemma":[0.9997724,0.00007021273,0.00008732326,0.000008578463,0.00003132275,0.00003012943],"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":[0.00001645136,0.000009577242,0.0001388309,0.00001136692,0.000001702339,0.000005396213,0.000006361252,0.00004656062,0.9987906,0.000005442116,0.000002830547,0.0009650443],"study_design_scores_gemma":[0.00000142019,0.0001092966,0.0006753516,0.000001194383,0.00000378973,0.000008144912,0.000005394137,0.0002939557,0.9987835,0.000002459129,0.0001142622,0.000001143518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972499,0.0002645314,0.002201877,0.00001567501,0.000006457911,0.00001482346,0.0000210879,0.00002114445,0.0002044425],"genre_scores_gemma":[0.993434,0.0004586163,0.005215399,0.00002635135,0.000005842906,0.00001196557,0.00007130163,0.0000149615,0.0007617113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00110466,"threshold_uncertainty_score":0.002196431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622999274212145,"score_gpt":0.292637795063819,"score_spread":0.2764078023216976,"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."}}