{"id":"W2935274317","doi":"","title":"SAGD 시추공의 시멘트 점착력 향상 방안","year":2014,"lang":"ko","type":"article","venue":"한국자원공학회지","topic":"Coal Combustion and Slurry Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Oil sands; Geology; Environmental science; Asphalt; Geography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003538698,0.0003939673,0.0001845449,0.0009536935,0.001899482,0.001747739,0.0005089183,0.0003993391,0.1000167],"category_scores_gemma":[0.0003550793,0.0003108369,0.0001841691,0.001041788,0.0006679345,0.0004505951,0.0007844192,0.0008288674,0.03127101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004128636,"about_ca_system_score_gemma":0.01009014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1604543,"about_ca_topic_score_gemma":0.3715754,"domain_scores_codex":[0.9995185,0.00001543837,0.00001207989,0.00005739499,0.0003250848,0.00007156293],"domain_scores_gemma":[0.9993401,0.00002182217,0.00002004418,0.00002696912,0.0004670112,0.0001240321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004623221,0.0002642612,0.01450625,0.0001997369,0.00001619199,0.0002987868,0.0003357409,0.001300317,0.0218865,0.01577578,0.4864624,0.4584916],"study_design_scores_gemma":[0.00003343455,0.00008684926,0.009365182,0.0000314522,0.00000820392,0.00009139291,0.0003452708,0.0007804189,0.004918925,0.0008310523,0.9834895,0.00001827363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04139603,0.001752887,0.007148353,0.005329496,0.001296007,0.0003710385,0.006261839,0.001691731,0.9347526],"genre_scores_gemma":[0.07669155,0.0009754041,0.007176523,0.000720209,0.00008280235,0.00004439561,0.004358017,0.0002101594,0.9097409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1604543,"threshold_uncertainty_score":0.3345891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003498008596157,"score_gpt":0.2146631665316195,"score_spread":0.2046281864456579,"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."}}