{"id":"W2038840372","doi":"10.1080/01621459.2011.641430","title":"Topological Analysis of Variance and the Maxillary Complex","year":2012,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"","keywords":"Topological data analysis; Persistent homology; Variance (accounting); Curse of dimensionality; Nonlinear system; Computer science; Topology (electrical circuits); High dimensional; Computational topology; Landmark; Theoretical computer science; Data mining; Algorithm; Mathematics; Artificial intelligence","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":[0.001724389,0.00006768057,0.0004986554,0.0001269908,0.00009376897,0.00004355521,0.00055813,0.00002392407,0.00004252774],"category_scores_gemma":[0.002717056,0.00002970314,0.0001959252,0.002281819,0.0003370132,0.0001596451,0.0002088333,0.0001609183,0.00000178124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006860789,"about_ca_system_score_gemma":0.00001808245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001157264,"about_ca_topic_score_gemma":0.000004066248,"domain_scores_codex":[0.9982504,0.0005602001,0.0004205095,0.00008271069,0.0005056033,0.0001805326],"domain_scores_gemma":[0.9956924,0.002521408,0.001359715,0.0001964656,0.0001535614,0.00007648175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009620039,0.000241521,0.3569882,0.000003566925,0.002618988,0.000005590269,0.0003624425,0.0002092599,0.0001033415,0.5934141,0.003231665,0.04272513],"study_design_scores_gemma":[0.0002110564,0.00006647788,0.9818227,0.000001252337,0.000790354,0.00001291727,0.00005815069,0.007332034,0.000006820133,0.008671606,0.000979948,0.00004670113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1384389,0.0002163079,0.8484924,0.01228609,0.0001546535,0.00005304812,0.00006458082,0.000006782258,0.0002872034],"genre_scores_gemma":[0.9782181,0.00008364019,0.02078593,0.0008095852,0.00005341942,6.075258e-7,0.000001490675,0.00000121701,0.00004603433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8397792,"threshold_uncertainty_score":0.3252766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454430915466728,"score_gpt":0.2736976942179528,"score_spread":0.2591533850632855,"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."}}