{"id":"W4229728902","doi":"10.2118/2005-161","title":"Liquid Addition to Steam for Enhancing Recovery (LASER) of Bitumen With CSS: Results From the First Pilot Cycle","year":2005,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Asphalt; Process engineering; Environmental science; Laser; Automotive engineering; Waste management; Computer science; Materials science; Nuclear engineering; Engineering; Optics; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001538179,0.0001688333,0.0001948467,0.0001425165,0.0001759322,0.000115868,0.0005653893,0.00005989643,0.0008509648],"category_scores_gemma":[0.0003068568,0.0001412098,0.00007513587,0.0001049431,0.00005636421,0.0001972591,0.00002996344,0.0001450731,0.00004143429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004033875,"about_ca_system_score_gemma":0.0006037554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03687753,"about_ca_topic_score_gemma":0.6670544,"domain_scores_codex":[0.9986663,0.00001004508,0.0003751891,0.0003778716,0.0002869575,0.0002836335],"domain_scores_gemma":[0.9986823,0.0002744537,0.000212549,0.0003069152,0.0003326045,0.0001912288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03006219,0.001521804,0.008149305,0.0005778825,0.006515427,0.0001169755,0.011656,0.3438668,0.3278811,0.006118063,0.1537398,0.1097947],"study_design_scores_gemma":[0.005053119,0.0009471272,0.001872338,0.00235408,0.0002763763,0.00001366035,0.002011517,0.03959052,0.1386273,0.0004623414,0.8076146,0.001177097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543506,0.00003740052,0.001107313,0.00952878,0.00009719776,0.00002480674,0.004540541,0.00003280249,0.03028058],"genre_scores_gemma":[0.9916363,0.00001444716,0.0004556391,0.0007855403,0.0004444797,0.00006910013,0.0006968052,0.00001991456,0.005877786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6538748,"threshold_uncertainty_score":0.969536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382191768914689,"score_gpt":0.2237833197575161,"score_spread":0.2099614020683692,"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."}}