{"id":"W2605893001","doi":"10.1007/978-3-319-57351-9_24","title":"Design and Implementation of a Smart Quotation System","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Context (archaeology); Process (computing); Order (exchange); Software engineering; Software; Operations research; Industrial engineering; Database; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0006732453,0.0002182819,0.0002783342,0.0005462547,0.0002051031,0.0003792425,0.001630947,0.0001543191,0.000003407431],"category_scores_gemma":[0.00003060797,0.0001982632,0.0000362517,0.0001209587,0.0004506555,0.000636322,0.000560636,0.0001853654,0.000006023244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377388,"about_ca_system_score_gemma":0.0002488719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002942333,"about_ca_topic_score_gemma":0.00002928502,"domain_scores_codex":[0.998253,0.00002208772,0.0003625296,0.0006850779,0.0004547798,0.0002225561],"domain_scores_gemma":[0.9980917,0.0002014473,0.0005335037,0.0009703343,0.0001590151,0.00004398189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002615152,0.00000456734,0.00009918753,0.00006053974,0.000005943785,0.000005611413,0.0005463118,0.0005537992,0.0004071914,0.1130247,0.000009279879,0.8852803],"study_design_scores_gemma":[0.0009822482,0.0007555496,0.002469066,0.00093089,0.00002921984,0.00009156005,0.00000866518,0.6190163,0.053016,0.3207649,0.0008450476,0.001090507],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001243175,0.0002022974,0.997764,0.0004582804,0.0004279034,0.0004202008,0.000001534168,0.0001637595,0.0004377163],"genre_scores_gemma":[0.6105397,0.00004066708,0.3892241,0.00004819287,0.00003442652,0.00001431017,0.000001619118,0.000009581476,0.00008745791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8841898,"threshold_uncertainty_score":0.8084939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868893627742745,"score_gpt":0.2842081918926632,"score_spread":0.2555192556152358,"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."}}