{"id":"W1984859210","doi":"10.2118/2005-021","title":"Graphical Methods for Obtaining the Diffusion Coefficient of Gases in Bitumen","year":2005,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Diffusion; Asphalt; Computer science; Statistical physics; Petroleum engineering; Thermodynamics; Materials science; Geology; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004673031,0.00008810207,0.00009971,0.0002883121,0.00004281559,0.00002698428,0.0002666558,0.00004149387,0.0001932168],"category_scores_gemma":[0.0001006657,0.00007767181,0.00003707863,0.0001096605,0.00004367999,0.0001118491,0.00001503661,0.000105628,0.000005622777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002862816,"about_ca_system_score_gemma":0.0001642932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348907,"about_ca_topic_score_gemma":0.03232846,"domain_scores_codex":[0.9992532,0.0000289915,0.0002554399,0.0001119451,0.0001517711,0.0001986588],"domain_scores_gemma":[0.9995239,0.0001367785,0.00004190091,0.0001115201,0.0001094019,0.00007650931],"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":[0.00003161438,0.00004987187,0.02207591,0.00004929738,0.00007279365,0.000001542681,0.001509683,0.8352723,0.01232154,0.04481608,0.001272991,0.08252636],"study_design_scores_gemma":[0.0003289885,0.00002317733,0.01169042,0.00004049135,0.000005506153,0.000001248379,0.0001292206,0.9619643,0.001626248,0.0002356203,0.02387107,0.00008370505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8903205,0.0001043091,0.101757,0.001467335,0.000476809,0.0002107758,0.00004170902,0.00002815732,0.005593331],"genre_scores_gemma":[0.9957244,0.00003329212,0.003826137,0.0001077634,0.00008339042,0.0000755818,0.00003725334,0.00001028458,0.0001019381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.126692,"threshold_uncertainty_score":0.985329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803196136597559,"score_gpt":0.3100213482416077,"score_spread":0.2819893868756321,"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."}}