{"id":"W4406452807","doi":"10.1016/s0967-0653(97)88244-0","title":"10.1016/s0967-0653(97)88244-0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interpolation (computer graphics); Adaptation (eye); Computer science; Algorithm; Artificial intelligence; Psychology; Motion (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001148019,0.002586701,0.001588331,0.002803937,0.002130373,0.003831959,0.003264278,0.004876685,0.9888567],"category_scores_gemma":[0.001734918,0.0009205048,0.001458448,0.002658105,0.001899328,0.005154791,0.003237334,0.00229386,0.9913732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067705,"about_ca_system_score_gemma":0.001062794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004232582,"about_ca_topic_score_gemma":0.003284556,"domain_scores_codex":[0.9993404,0.00004982499,0.00005711592,0.0002406044,0.000181027,0.0001310465],"domain_scores_gemma":[0.9976445,0.0006103956,0.0001436909,0.0003120853,0.0005500679,0.0007393236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003697994,0.0002172087,0.0008865828,0.0005878084,0.00004005453,0.0002467624,0.0001294124,0.0005854104,0.002375218,0.006587795,0.3377279,0.6502461],"study_design_scores_gemma":[0.00004744275,0.0001195017,0.0005752002,0.0002930714,0.0000145828,0.0003223201,0.0001183525,0.0002871029,0.0003825254,0.0006550509,0.9971614,0.00002343298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004723177,0.0003373705,0.001091183,0.0003086261,0.000289023,0.0001173733,0.0006675259,0.001008619,0.9957079],"genre_scores_gemma":[0.00063787,0.000173534,0.0004501543,0.0001507018,0.0000486351,0.0000532162,0.0003239786,0.0001865486,0.9979753],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01114327,"threshold_uncertainty_score":0.01589453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009575886428335777,"score_gpt":0.1999068681830827,"score_spread":0.1903309817547469,"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."}}