{"id":"W2078952461","doi":"10.2118/2000-061","title":"You've Got \"Scale!\"-Developments in Well-Bore Remediation Technology","year":2000,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BP Global","keywords":"Environmental remediation; Scale (ratio); Environmental science; Computer science; Physics; Contamination","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":[0.0000704249,0.0001457578,0.0001232482,0.0006068817,0.00003036858,0.00004800269,0.0003154155,0.0001302875,0.001049807],"category_scores_gemma":[0.0000182207,0.0001806676,0.00002323451,0.0002155257,0.00002641121,0.0001235823,0.000008917956,0.0002492536,0.000457287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479604,"about_ca_system_score_gemma":0.0001346065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745515,"about_ca_topic_score_gemma":0.04017573,"domain_scores_codex":[0.9990947,0.000005458819,0.0002266312,0.0001923307,0.0001512045,0.0003296534],"domain_scores_gemma":[0.9996228,0.00001154246,0.00001512247,0.0001367374,0.00005139754,0.0001623596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001117649,0.00001963644,0.04239951,0.00003376959,0.00008478266,0.0001108838,0.0006507666,0.8968137,0.000717904,0.005132321,0.002682462,0.05134307],"study_design_scores_gemma":[0.0007018952,0.00001870859,0.03816048,0.0001947862,0.000006600384,0.00002822074,0.0001443111,0.6278308,0.001112265,0.0007141462,0.3304938,0.0005939903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7773,0.00008001785,0.0007675455,0.0006551706,0.0009230004,0.00006550079,0.00003761486,0.0002282806,0.2199429],"genre_scores_gemma":[0.9964741,0.0001525935,0.0003624137,0.00006001149,0.00009061279,0.00002587389,0.00007478761,0.00002405892,0.00273553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3278113,"threshold_uncertainty_score":0.9998634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005550676758631314,"score_gpt":0.1855217625316949,"score_spread":0.1799710857730636,"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."}}