{"id":"W2600560649","doi":"10.2118/184570-ms","title":"Polyethylene Glycol PEG Functionalized Silane for Highly Efficient Silicate Scale Control","year":2017,"lang":"en","type":"article","venue":"SPE International Conference on Oilfield Chemistry","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silane; Silicate; PEG ratio; Polyethylene glycol; Chemical engineering; Polymer; Ethylene glycol; Chemistry; Nucleation; Calcium silicate; Hydrogen bond; Materials science; Inorganic chemistry; Polymer chemistry; Organic chemistry; Molecule","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001920161,0.0001834049,0.0001925661,0.00003291832,0.0002812974,0.0003696787,0.0005628035,0.0001204222,0.01038016],"category_scores_gemma":[0.000228394,0.0001775043,0.0001230249,0.00002032108,0.000145996,0.0001123762,0.0000720216,0.0001230905,0.000108112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008605655,"about_ca_system_score_gemma":0.00009780942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005459732,"about_ca_topic_score_gemma":0.00001230362,"domain_scores_codex":[0.9985886,0.00001460629,0.0003042415,0.0004321132,0.000433588,0.0002269121],"domain_scores_gemma":[0.9986424,0.00008491157,0.0002879874,0.0004313297,0.00044038,0.0001129322],"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":[0.0004417968,0.0001072952,0.00005413235,0.00002978823,0.0000138535,0.000003163485,0.0000319588,0.0001849117,0.9908495,0.006302748,0.00148231,0.0004985186],"study_design_scores_gemma":[0.002554512,0.00004589093,0.0002608516,0.0000902234,0.00001898195,0.000009653829,0.00007831091,0.0113206,0.9740789,0.002353995,0.008913991,0.0002741038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7993264,0.00002604624,0.005971594,0.0179438,0.001672479,0.0003641956,0.0005275776,0.0001401816,0.1740277],"genre_scores_gemma":[0.9867172,0.00002354791,0.0001980976,0.0005638544,0.0004913397,0.0001066811,0.0001542311,0.00001546315,0.01172954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873908,"threshold_uncertainty_score":0.9905245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889614311792281,"score_gpt":0.2891300950993582,"score_spread":0.2602339519814353,"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."}}