{"id":"W1908010214","doi":"10.1002/cjce.22276","title":"Enhancing treatment and geotechnical stability of oil sands fine tailings using thermo‐sensitive poly(<i>n</i>‐isopropyl acrylamide)","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cumulative Environmental Management Association; Canadian Natural Resources; Alberta Innovates","funders":"","keywords":"Oil sands; Tailings; Isopropyl; Geotechnical engineering; Acrylamide; Geology; Petroleum engineering; Environmental science; Materials science; Chemistry; Composite material; Polymer; Metallurgy; Organic chemistry; Copolymer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004700448,0.0002191065,0.000403099,0.0001319651,0.00003003841,0.00002839649,0.0001740663,0.0001418776,0.000006753904],"category_scores_gemma":[0.0003142339,0.000171529,0.0001036499,0.0001803332,0.0001155796,0.0001370197,0.00002088532,0.0003807507,3.521035e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007912784,"about_ca_system_score_gemma":0.0003034735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245278,"about_ca_topic_score_gemma":0.0004970573,"domain_scores_codex":[0.9988838,0.00001899947,0.0004781767,0.0001133209,0.0001663524,0.0003393875],"domain_scores_gemma":[0.9989496,0.0001486982,0.0001010712,0.0002007521,0.0001606873,0.0004392242],"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":[0.00002074011,0.000007120447,0.0000547296,0.00005957641,0.00007532634,0.00002388882,0.0007419595,0.01625104,0.9790069,0.00004496054,0.000008100449,0.003705685],"study_design_scores_gemma":[0.0002829643,0.00008069555,0.00001857305,0.0002143301,0.00004631081,0.0001835315,0.00004360131,0.02767186,0.9710938,0.0001125171,0.00008554024,0.0001662747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930664,0.001493672,0.005006002,0.0000718181,0.0001260707,0.00005438987,0.00001008832,0.00005685888,0.0001146479],"genre_scores_gemma":[0.9952799,0.00001943872,0.004521222,0.00001049931,0.0001194371,0.000002414741,0.000001005189,0.00004250692,0.000003584363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142082,"threshold_uncertainty_score":0.6994748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490779429762173,"score_gpt":0.2120314585402017,"score_spread":0.1971236642425799,"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."}}