{"id":"W4401230166","doi":"10.1080/00222348.2024.2385154","title":"Influence of Rigid Side Chains on the Structural Stability of High-Temperature Resistant Fluid Loss Additives for Oil Well Cements: An Experimental Study and Molecular Simulation","year":2024,"lang":"en","type":"article","venue":"Journal of Macromolecular Science Part B","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Thermogravimetric analysis; Materials science; Cement; Thermal stability; Slurry; Environmental scanning electron microscope; Sulfonic acid; Side chain; Copolymer; Chemical engineering; Amorphous solid; Monomer; Adsorption; Simulated body fluid; Composite material; Polymer chemistry; Scanning electron microscope; Polymer; Organic chemistry; 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":[0.0001461041,0.0002930838,0.0001828033,0.000179671,0.0001586341,0.0001862627,0.0002752468,0.0002108722,0.001407557],"category_scores_gemma":[0.0002012646,0.0001534503,0.0002979079,0.0001769165,0.0002172828,0.0003106839,0.0001202999,0.0002962651,0.000163393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259033,"about_ca_system_score_gemma":0.000160445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128188,"about_ca_topic_score_gemma":0.001242023,"domain_scores_codex":[0.9999429,0.000006854574,0.000003204559,0.00001252561,0.00002008075,0.00001442938],"domain_scores_gemma":[0.9999167,0.00002842618,0.00002672119,0.000005727366,0.00001326409,0.000009266444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002652496,0.0001795782,0.001631833,0.0002464933,0.00002773845,0.0001857163,0.00006216868,0.03298735,0.9589012,0.001577012,0.0001007929,0.00383484],"study_design_scores_gemma":[0.00005346834,0.0007520263,0.006739355,0.0000172982,0.00007638831,0.00008260066,0.00008594657,0.2766952,0.7128736,0.0003021585,0.002284595,0.00003735566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978462,0.0002741792,0.001302035,0.00001506157,0.000004752809,0.000005507253,0.00006234893,0.00001390443,0.0004758989],"genre_scores_gemma":[0.9982686,0.0002682963,0.001121033,0.000005056718,0.000001979735,0.000009999715,0.00005713547,0.000007175143,0.0002606816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001407557,"threshold_uncertainty_score":0.004708767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008867443433443268,"score_gpt":0.2584821065895209,"score_spread":0.2496146631560776,"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."}}