{"id":"W2091715846","doi":"10.1111/j.1467-8659.2007.01061.x","title":"Mesh Segmentation via Spectral Embedding and Contour Analysis","year":2007,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Segmentation; Embedding; Computer science; Shape analysis (program analysis); Mathematics; Measure (data warehouse); Artificial intelligence; Algorithm; Pattern recognition (psychology)","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":[0.0002191941,0.0001313398,0.0002023258,0.0004869453,0.00008935305,0.00006187256,0.00007800054,0.00006112557,0.000008852337],"category_scores_gemma":[0.000001260594,0.0001352767,0.000158133,0.0006730086,0.00002202779,0.00009795284,0.00002483432,0.0001177325,0.000003153503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002041199,"about_ca_system_score_gemma":0.000002161504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126304,"about_ca_topic_score_gemma":0.0001508243,"domain_scores_codex":[0.9991925,0.000009088186,0.0002151352,0.0001745646,0.0001297095,0.0002789742],"domain_scores_gemma":[0.9996779,0.00003560548,0.0000274447,0.0001374543,0.00003204903,0.00008953385],"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":[0.00001923615,0.00007374649,0.1423608,0.0001116547,0.005937262,0.00006665143,0.001688951,0.752535,0.002517255,0.0080911,0.001810121,0.08478821],"study_design_scores_gemma":[0.0001516355,0.00001557481,0.004383882,0.000006393916,0.0002813521,0.000003276807,0.00005049016,0.993632,0.0004544171,0.0008086247,0.00005361976,0.0001586851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2333111,0.000217729,0.7660243,0.0000324621,0.0001140025,0.00003277749,0.00000209273,0.0001547342,0.0001108704],"genre_scores_gemma":[0.9881883,0.00006729307,0.01147677,0.000109614,0.000101578,0.00000130827,0.00002577503,0.0000152359,0.00001409703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7548773,"threshold_uncertainty_score":0.5516425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007499962996502469,"score_gpt":0.2330489095204951,"score_spread":0.2255489465239926,"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."}}