{"id":"W3176437450","doi":"10.2118/200946-ms","title":"An Enhanced Microfine Cement Design for Special Squeeze Applications","year":2021,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Cement; Thixotropy; Materials science; Slurry; Compressive strength; Composite material","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":[0.0001370251,0.0003154327,0.00024625,0.0003437965,0.0001292138,0.0003330768,0.0004334329,0.0003434116,0.001295769],"category_scores_gemma":[0.0001826238,0.0001719464,0.0002225379,0.0002048682,0.0001266043,0.0004299888,0.0002291298,0.0002971361,0.0004039045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466939,"about_ca_system_score_gemma":0.0002793728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006776426,"about_ca_topic_score_gemma":0.002737589,"domain_scores_codex":[0.99986,0.00001182253,0.000009407206,0.00002709209,0.00007328663,0.00001829088],"domain_scores_gemma":[0.9998283,0.00001451894,0.00006398455,0.0000129278,0.00005524551,0.00002482582],"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":[0.00005593772,0.00004472351,0.0002343239,0.00008888626,0.000005482375,0.00004614587,0.00001245333,0.001270609,0.9858415,0.0002600149,0.0001306685,0.01200924],"study_design_scores_gemma":[0.00005175018,0.0009346462,0.004717928,0.00001456877,0.00004688392,0.0003704144,0.00001965587,0.02644188,0.9436628,0.0001143103,0.02359011,0.00003497207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141633,0.00225127,0.1731801,0.0002705987,0.0001776282,0.0003269318,0.0003165901,0.001376714,0.007936892],"genre_scores_gemma":[0.935355,0.0004070625,0.05942072,0.00007074124,0.00002418822,0.00007415153,0.000156753,0.00006118864,0.004430166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001295769,"threshold_uncertainty_score":0.004334807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258167927669709,"score_gpt":0.2225188686045262,"score_spread":0.2099371893278291,"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."}}