{"id":"W70760352","doi":"","title":"Spectral mesh segmentation","year":2009,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Segmentation; Polygon mesh; Computer science; Spectral clustering; Visualization; Metric (unit); Cluster analysis; Theoretical computer science; Algorithm; Artificial intelligence; Computer graphics (images)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003862911,0.0002776782,0.0002776938,0.0005711454,0.00009868833,0.00004261843,0.0002410255,0.0002678748,0.0001972941],"category_scores_gemma":[0.00000366943,0.0003514223,0.0002144061,0.0005331032,0.00000942825,0.0001778774,0.000006325813,0.0003199284,0.0001281257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072643,"about_ca_system_score_gemma":0.00003379848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006179191,"about_ca_topic_score_gemma":0.03134434,"domain_scores_codex":[0.9990827,0.00002149259,0.0001583312,0.0002760655,0.0002094206,0.000252008],"domain_scores_gemma":[0.9995653,0.00001238394,0.0000548364,0.0002115399,0.00005819414,0.00009776973],"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":[0.0004567269,0.0004219539,0.0345443,0.001380346,0.003381845,0.001477769,0.0007054367,0.5208593,0.00096785,0.001716718,0.2653558,0.168732],"study_design_scores_gemma":[0.007553702,0.0005752174,0.005841019,0.001722212,0.008020347,3.768131e-8,0.2064566,0.4334688,0.09829902,0.003065737,0.2248583,0.01013909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859616,0.000575139,0.004733963,0.00003837723,0.0008303521,0.0002297387,0.0000629425,0.001016126,0.1328973],"genre_scores_gemma":[0.9638342,0.000691651,0.0003844312,0.00002208565,0.0001498704,5.445096e-7,0.00220287,0.00005403689,0.03266034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2057512,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007889260611150587,"score_gpt":0.2015187214932003,"score_spread":0.1936294608820497,"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."}}