{"id":"W1980414771","doi":"10.2118/2004-106","title":"A New Macroscopic Nucleation Model for Simulation of the Solution Gas Drive in Heavy Oils","year":2004,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleation; Materials science; Mechanics; Statistical physics; Computer science; Thermodynamics; Physics","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":[0.00006886471,0.0001119902,0.0001351602,0.0001703362,0.00008936767,0.00006097493,0.0003350277,0.00009097117,0.0001197923],"category_scores_gemma":[0.0001291094,0.0001077423,0.00009099367,0.00011047,0.00004367266,0.0001559576,0.00001977161,0.0001239451,0.00000439904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00068346,"about_ca_system_score_gemma":0.001313885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0309171,"about_ca_topic_score_gemma":0.179936,"domain_scores_codex":[0.9990803,0.00000666697,0.0002706476,0.0002197898,0.0002112207,0.0002113541],"domain_scores_gemma":[0.9993354,0.00002840195,0.0001505593,0.0001675853,0.0001956947,0.0001223271],"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":[0.00003331792,0.00002176337,0.00266966,0.00003131736,0.00002908562,8.131368e-7,0.0003862972,0.9606412,0.02667716,0.005894589,0.00004397767,0.003570837],"study_design_scores_gemma":[0.0008901099,0.000008159688,0.0006940843,0.00020588,0.00002021202,0.000001165256,0.00005243497,0.9829211,0.007680168,0.006816702,0.0005911355,0.0001188266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8408744,0.00002905706,0.147854,0.004253383,0.0001253644,0.00002340008,0.0001428695,0.00001880568,0.006678786],"genre_scores_gemma":[0.9949982,0.00000592748,0.001235019,0.0001198972,0.00007316477,0.00001546725,0.00005997967,0.00001135862,0.003481013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1541238,"threshold_uncertainty_score":0.9755361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037490645837028,"score_gpt":0.2628730105220436,"score_spread":0.2424981040636734,"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."}}