{"id":"W2496743834","doi":"10.1002/cjce.22616","title":"Supply chain optimization of flare‐gas‐to‐butanol processes in alberta","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Climate Change and Emissions Management Corporation","keywords":"Methanol; Truck; Environmental science; Natural gas; Supply chain; Process engineering; Petrochemical; Waste management; Computer science; Engineering; Chemistry; Automotive engineering; Business; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009065256,0.001279969,0.0008713399,0.0009238877,0.001142217,0.001994983,0.0009905725,0.001326816,0.004090532],"category_scores_gemma":[0.001225194,0.0006923071,0.0009024492,0.001253621,0.0008829837,0.00090306,0.001082324,0.0008740712,0.0002106331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009509366,"about_ca_system_score_gemma":0.006655154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3885327,"about_ca_topic_score_gemma":0.3291567,"domain_scores_codex":[0.9995397,0.0001301832,0.00001171649,0.00006345007,0.00009218523,0.0001627125],"domain_scores_gemma":[0.9994726,0.0002576225,0.00006432759,0.00001354636,0.0001314472,0.00006054087],"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":[0.00006472916,0.00003407684,0.0004390029,0.00003355896,0.00001458728,0.00008079225,0.00001617359,0.9937941,0.0004389414,0.002243638,0.0002785713,0.002561887],"study_design_scores_gemma":[0.00002527254,0.00007734082,0.0007508383,0.00001123926,0.00001728784,0.000009653088,0.0001161145,0.9951807,0.000438152,0.002409545,0.0009520322,0.00001183251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7240139,0.00182664,0.2126174,0.001752562,0.0001290856,0.0006397853,0.001287598,0.0002788396,0.0574542],"genre_scores_gemma":[0.9704766,0.0005072355,0.01456523,0.00005618181,0.000009071454,0.00008059385,0.0003528359,0.00002362025,0.01392861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6114672,"threshold_uncertainty_score":0.7725424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004157740173034583,"score_gpt":0.1628551323928211,"score_spread":0.1586973922197865,"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."}}