{"id":"W4404135730","doi":"10.1016/j.cag.2024.104119","title":"Learning geometric complexes for 3D shape classification","year":2024,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005221223,0.001315964,0.00111317,0.00194009,0.0005230645,0.00137824,0.002529034,0.001773268,0.003832991],"category_scores_gemma":[0.002248689,0.0005788195,0.001620469,0.001753164,0.00100097,0.002238776,0.00204002,0.001552797,0.00155506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946136,"about_ca_system_score_gemma":0.0008408292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057128,"about_ca_topic_score_gemma":0.01123928,"domain_scores_codex":[0.9995033,0.00005819206,0.00002210454,0.0001851913,0.0001661364,0.00006509562],"domain_scores_gemma":[0.9993638,0.0001744433,0.00008937033,0.0001533504,0.0001603501,0.00005861748],"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":[0.0002032378,0.000119892,0.00350758,0.0001492466,0.00008719079,0.0001479678,0.0001089605,0.5713463,0.01205277,0.01325696,0.006255473,0.3927644],"study_design_scores_gemma":[0.000002173685,0.00001158898,0.000211259,0.00000444569,0.000003500642,0.00001834037,0.00001043222,0.994037,0.0008787856,0.004420592,0.0003978552,0.000003952307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0683578,0.0005698618,0.9237347,0.0004359204,0.00009108872,0.0001245459,0.000636677,0.003053314,0.002996064],"genre_scores_gemma":[0.7394044,0.0005690272,0.249878,0.000407074,0.00009913193,0.000185546,0.003935133,0.0003486593,0.005172817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01057128,"threshold_uncertainty_score":0.02101946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192589530422164,"score_gpt":0.2505152624524039,"score_spread":0.2185893671481823,"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."}}