{"id":"W4247734800","doi":"10.2118/2006-160","title":"Simulation and Optimization of Continuous Pig Lift Systems","year":2006,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Lift (data mining); Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000200922,0.00009291956,0.0001444003,0.0001664788,0.00007614106,0.0002042349,0.0001611733,0.00005704245,0.001275281],"category_scores_gemma":[0.0001030635,0.00009686661,0.00001915639,0.00004726115,0.00007401622,0.0001984964,0.0000209919,0.00003255774,0.00003640261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009363208,"about_ca_system_score_gemma":0.0002113657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06286178,"about_ca_topic_score_gemma":0.01517569,"domain_scores_codex":[0.9990854,0.00004577611,0.0003085628,0.0001879194,0.0002131419,0.0001591739],"domain_scores_gemma":[0.9991812,0.00007157883,0.0001545126,0.0001168685,0.0003799124,0.00009588983],"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":[0.00000692557,0.000008970454,0.001243009,0.000009542112,0.000004153384,0.000001729529,0.00003560982,0.9674397,0.01154499,0.01947928,0.0001839678,0.00004208296],"study_design_scores_gemma":[0.0003132909,0.00003005778,0.008319387,0.00005014926,0.00001361288,0.000005359294,0.00007790248,0.9851702,0.001003807,0.0004362808,0.004433304,0.0001466721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669755,0.00006457069,0.02239676,0.0003498736,0.001040789,0.0001196082,0.000323593,0.00003010527,0.008699158],"genre_scores_gemma":[0.9982696,0.000004091718,0.0006929554,0.00003045459,0.0001521032,0.00001638587,0.0001022456,0.000009092378,0.0007230743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04768609,"threshold_uncertainty_score":0.9996377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065993537229581,"score_gpt":0.2513576071922995,"score_spread":0.2306976718200037,"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."}}