{"id":"W2166093887","doi":"","title":"The Manifold Tangent Classifier","year":2011,"lang":"en","type":"article","venue":"","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Manifold alignment; Classifier (UML); Manifold (fluid mechanics); Disjoint sets; Jacobian matrix and determinant; Tangent space; Pattern recognition (psychology); Artificial intelligence; Mathematics; Computer science; Nonlinear dimensionality reduction; Exploit; Algorithm; Discrete mathematics; Pure mathematics; Dimensionality reduction; Applied mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001723809,0.0008888473,0.001072461,0.001930689,0.0009869763,0.002265549,0.001799536,0.001440515,0.00434023],"category_scores_gemma":[0.005777132,0.0003120694,0.0008192202,0.001834369,0.0009677602,0.003928425,0.001667267,0.002142475,0.002967568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050378,"about_ca_system_score_gemma":0.001918001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358062,"about_ca_topic_score_gemma":0.002809866,"domain_scores_codex":[0.9987743,0.0002262855,0.0000706735,0.0003327406,0.0004916021,0.0001042248],"domain_scores_gemma":[0.998243,0.0003674129,0.0001110464,0.0004815625,0.0006759066,0.0001211254],"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":[0.00017626,0.0001699774,0.004579694,0.0001257989,0.000114344,0.0001703121,0.0001901372,0.05583888,0.007524631,0.1079575,0.03348371,0.7896689],"study_design_scores_gemma":[0.00001279527,0.00009490701,0.0007669345,0.00003744676,0.00002709218,0.0001987132,0.00005651607,0.92006,0.00642559,0.05822473,0.01406909,0.0000260651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01367573,0.0004705871,0.9790881,0.000379344,0.0002010294,0.0001081981,0.0003554632,0.002183029,0.003538488],"genre_scores_gemma":[0.3208512,0.000735291,0.6640671,0.0003784586,0.0003248537,0.0002899259,0.002498942,0.0004392885,0.01041497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00434023,"threshold_uncertainty_score":0.01451951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05949891099710618,"score_gpt":0.2114213019435433,"score_spread":0.1519223909464371,"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."}}