{"id":"W2101458411","doi":"10.1023/b:visi.0000042935.43630.46","title":"Building Roadmaps of Minima and Transitions in Visual Models","year":2004,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Maxima and minima; Hypersurface; Saddle point; Computer science; Algorithm; Mathematical optimization; Artificial intelligence; Mathematics; Geometry; Mathematical analysis","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":[0.001298021,0.001434724,0.001620607,0.004503496,0.001201698,0.003059173,0.002373682,0.003030339,0.006381157],"category_scores_gemma":[0.01166693,0.002318564,0.001699338,0.00207675,0.001231604,0.00433121,0.003483168,0.003857254,0.001499416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213451,"about_ca_system_score_gemma":0.00195275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128483,"about_ca_topic_score_gemma":0.01630395,"domain_scores_codex":[0.9992393,0.0001829226,0.00004628516,0.000268793,0.0001599007,0.0001027745],"domain_scores_gemma":[0.9969869,0.0017548,0.0002654982,0.0003601776,0.0004843138,0.0001482882],"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":[0.0005520862,0.0001728286,0.003394608,0.0005092368,0.0001241955,0.0002186184,0.0006860388,0.6576316,0.005662662,0.04365056,0.008468192,0.2789293],"study_design_scores_gemma":[0.0000263259,0.00004588009,0.0003490247,0.00007268834,0.00001986149,0.00004152304,0.00008248193,0.9372671,0.001216832,0.05955584,0.001299018,0.00002350237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05534388,0.0007513285,0.9346526,0.0004277427,0.00006509152,0.0002860061,0.001041504,0.004016556,0.003415279],"genre_scores_gemma":[0.5295131,0.0009306359,0.4627809,0.0001660277,0.00004996136,0.0006151295,0.002000107,0.001088859,0.002855443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0128483,"threshold_uncertainty_score":0.02554703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137390613961283,"score_gpt":0.3287456387739762,"score_spread":0.3173717326343634,"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."}}