{"id":"W7006887742","doi":"","title":"Young tableaux and the image of the Kashiwara embedding for U[subscript]q(sl(n))","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Embedding; Object (grammar); Pattern recognition (psychology); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004559713,0.000540727,0.0004669449,0.0009206561,0.002157381,0.003786816,0.0006799177,0.0006310079,0.02265825],"category_scores_gemma":[0.0008708821,0.000383559,0.0003897758,0.0017381,0.001945785,0.003067767,0.0009236725,0.001509774,0.004093206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003903133,"about_ca_system_score_gemma":0.002161011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008668,"about_ca_topic_score_gemma":0.02925208,"domain_scores_codex":[0.9997074,0.0000643958,0.00001502379,0.00004131137,0.00009375004,0.00007806218],"domain_scores_gemma":[0.9997033,0.00009911858,0.00002769866,0.00004625109,0.0000756966,0.0000478763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002339557,0.000006443901,0.00005333723,0.00001331678,0.000001363073,0.00004825971,0.0002097842,0.0001697534,0.0003980914,0.9910556,0.003246645,0.004773952],"study_design_scores_gemma":[0.00002054364,0.00001353328,0.0004168181,0.00002260185,0.000005769181,0.00009923203,0.0001885735,0.001561722,0.00136717,0.9496026,0.04668003,0.00002128482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1196936,0.001764521,0.04407033,0.002146423,0.0005510457,0.00006208163,0.001017792,0.0007197726,0.8299744],"genre_scores_gemma":[0.6414047,0.001238872,0.01834934,0.0002883213,0.0002344912,0.00006187092,0.0006849888,0.0005114172,0.337226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02265825,"threshold_uncertainty_score":0.07579941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002668098328244484,"score_gpt":0.1498962447384784,"score_spread":0.1472281464102339,"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."}}