{"id":"W2980837048","doi":"10.1016/j.carbpol.2019.115465","title":"Cellulose nanofibril-polymer hybrids for protecting drilling fluid at high salinity and high temperature","year":2019,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Tianjin City; National Natural Science Foundation of China","keywords":"Thermal stability; Copolymer; Sulfonic acid; Acrylate; Cellulose; Polymer chemistry; Polymer; Ferric; Polymerization; Materials science; Chemistry; Salt (chemistry); Chemical engineering; Nuclear chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002014996,0.0002881784,0.0001361055,0.0001770711,0.0001460251,0.0002186907,0.0001530281,0.000314656,0.0006497834],"category_scores_gemma":[0.000172115,0.0001219897,0.0001749044,0.0001097593,0.0001302376,0.0004938523,0.0001613852,0.0003237617,0.0001403359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732172,"about_ca_system_score_gemma":0.0001157064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000363439,"about_ca_topic_score_gemma":0.0009090677,"domain_scores_codex":[0.9999182,0.000008089521,0.000005252503,0.0000192648,0.00002499011,0.00002418468],"domain_scores_gemma":[0.9998846,0.00002909713,0.00003472481,0.00000819127,0.00002242886,0.00002099813],"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":[0.00003531545,0.000009951363,0.0000396719,0.00003953642,0.000003186266,0.00002132761,0.000009846763,0.00009721642,0.9984794,0.00005444134,0.00001543177,0.001194498],"study_design_scores_gemma":[0.000001765175,0.00005311509,0.0002306807,0.000001962117,0.000003532023,0.00002269938,0.000005657726,0.0002714097,0.9990512,0.000007472416,0.0003478,0.00000260591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867201,0.002849042,0.00851046,0.00007070678,0.00006287268,0.00002680376,0.00007297555,0.00008751806,0.001599487],"genre_scores_gemma":[0.9928342,0.0009634682,0.004286847,0.0000351933,0.00001387373,0.00001856007,0.00007324777,0.00001988203,0.001754684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006497834,"threshold_uncertainty_score":0.002173722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275292809303748,"score_gpt":0.2505899556016321,"score_spread":0.2378370275085946,"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."}}