{"id":"W4320803774","doi":"10.3390/mol2net-08-13815","title":"Application of Multicriteria Analysis to Increase the Quality of Cuban Tobacco","year":2022,"lang":"en","type":"article","venue":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Quality (philosophy); Computer science; Pleasure; Habit; Tobacco industry; Risk analysis (engineering); Degree (music); Operations research; Mathematics; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007546881,0.0003324658,0.0006258286,0.0005117384,0.0001433584,0.00006982201,0.0007114618,0.0001119647,0.00007166222],"category_scores_gemma":[0.0001980291,0.0003074415,0.0001410376,0.002127889,0.0002236019,0.0001077401,0.0002690923,0.0002512149,0.000001711107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007922629,"about_ca_system_score_gemma":0.00004657877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005229249,"about_ca_topic_score_gemma":0.00001508229,"domain_scores_codex":[0.996892,0.0000450035,0.0009512691,0.0005814547,0.001130256,0.0003999904],"domain_scores_gemma":[0.9985608,0.0002324431,0.0003328184,0.0002145634,0.0003514978,0.0003078191],"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":[0.00006358908,0.00007364314,0.0005796024,0.00004768336,0.0001958822,4.671774e-7,0.0002569867,0.949716,0.03987117,0.005816991,0.0002309077,0.003147103],"study_design_scores_gemma":[0.0003783623,0.0002272188,0.006675861,0.00006099188,0.0001019001,0.000002204975,0.000114751,0.990444,0.0002810183,0.0006776169,0.0006967517,0.0003392998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3912332,0.0002905544,0.6074988,0.000178589,0.00008960215,0.0004276214,0.00009809478,0.00005590239,0.0001276363],"genre_scores_gemma":[0.9445513,0.00002936896,0.05486653,0.000130718,0.00005362587,0.0001826122,0.0001508197,0.0000286497,0.000006321417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5533181,"threshold_uncertainty_score":0.9999378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219741649000366,"score_gpt":0.264771504719865,"score_spread":0.2525740882298614,"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."}}