{"id":"W1990812114","doi":"10.2118/2003-140","title":"Processing Options for Bitumen Upgrading","year":2003,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Computer science; Process engineering; Engineering; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001715517,0.0001100196,0.00007929707,0.0002598591,0.0001183308,0.0001208209,0.0001779514,0.00004649871,0.000513309],"category_scores_gemma":[0.00006055689,0.0001317647,0.00003262133,0.0000828858,0.0000210759,0.0003400681,0.00000392396,0.00008671704,0.00006030407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043426,"about_ca_system_score_gemma":0.0003283607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000306043,"about_ca_topic_score_gemma":0.008448945,"domain_scores_codex":[0.9992514,0.000008682572,0.0001754913,0.000142011,0.0001521601,0.0002702861],"domain_scores_gemma":[0.999534,0.00001822782,0.00002948548,0.00009250505,0.0001606586,0.0001651443],"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":[0.00001203636,0.00003803072,0.01582927,0.0002075761,0.000221847,0.00000938738,0.001004829,0.4706172,0.009014867,0.465415,0.01872366,0.01890621],"study_design_scores_gemma":[0.000415817,0.00001858351,0.001445716,0.00005409246,0.00001322454,0.0000072722,0.0001374636,0.8130362,0.001520963,0.001901386,0.1812021,0.0002471344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6015513,0.0003215462,0.148538,0.001057235,0.002888758,0.0005013983,0.0001802361,0.0003167512,0.2446448],"genre_scores_gemma":[0.9957189,0.00002214261,0.002545933,0.00008630567,0.0001046839,0.0001358,0.0000801581,0.0000212291,0.001284879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4635136,"threshold_uncertainty_score":0.5620374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289277018769275,"score_gpt":0.2599353115903216,"score_spread":0.2310076097133941,"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."}}