{"id":"W4323045925","doi":"10.1016/j.jclepro.2023.136643","title":"Highly thermoconductive biogel for enhancing thermal efficiency and soil self-remediation in heavy oil recovery","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Environmental remediation; Pollutant; Soil contamination; Environmental science; Waste management; Environmental chemistry; Chemistry; Pulp and paper industry; Contamination; Soil water","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009989188,0.0001255869,0.0002022961,0.0004333829,0.00004419054,0.00002660105,0.00007536414,0.00008953161,0.000002678633],"category_scores_gemma":[0.0002294998,0.0001152224,0.00006299684,0.0003346005,0.00001992102,0.0006283442,0.00001244547,0.000216607,0.00000312556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785375,"about_ca_system_score_gemma":0.0000350593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005460688,"about_ca_topic_score_gemma":0.00004055602,"domain_scores_codex":[0.9990168,0.00004076078,0.0004257298,0.0001572655,0.0001563332,0.0002030886],"domain_scores_gemma":[0.9994627,0.00009128856,0.0001675893,0.0001064607,0.0001351184,0.00003682038],"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":[0.000131954,0.00005196314,0.0001894235,0.0002317284,0.0000540467,0.000004684237,0.001522133,0.08011121,0.8022264,0.00002060135,0.0008481103,0.1146078],"study_design_scores_gemma":[0.0004429095,0.0003018429,0.002559523,0.0001890413,0.00002988627,0.00004494536,0.0003277945,0.004073215,0.9895579,0.001422263,0.0008409985,0.000209647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954671,0.0002763919,0.002040382,0.0002601143,0.001340675,0.0001283705,0.000002002472,0.000221282,0.0002637013],"genre_scores_gemma":[0.9958709,0.001299103,0.001848475,0.00001335948,0.0007630443,0.00002268545,0.000003104226,0.00004006093,0.0001392206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873315,"threshold_uncertainty_score":0.4698634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009618558982695535,"score_gpt":0.2297273405049083,"score_spread":0.2201087815222127,"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."}}