{"id":"W1975347971","doi":"10.1002/wics.173","title":"Statistics of shape","year":2011,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Computational Statistics","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Landmark; Shape analysis (program analysis); Representation (politics); Computer science; Statistical analysis; Statistics; Artificial intelligence; Mathematics; Pattern recognition (psychology); Static 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008824413,0.0008342792,0.003908749,0.0003296786,0.0001993482,0.00004441513,0.0008124985,0.0003575718,0.003279778],"category_scores_gemma":[0.0007951246,0.0006299967,0.0006691935,0.0005629545,0.0002669617,0.00008752781,0.0009534366,0.0006567009,0.0005583757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451704,"about_ca_system_score_gemma":0.0002737554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003757945,"about_ca_topic_score_gemma":0.000003742307,"domain_scores_codex":[0.9943267,0.0006862555,0.003442612,0.0006850117,0.0004433751,0.0004160443],"domain_scores_gemma":[0.9925366,0.003396455,0.002816478,0.0006597161,0.0003886633,0.0002020581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004456446,0.0002680106,0.000001205399,0.01829487,0.0001584901,0.00002257506,0.00005790785,0.000002637107,1.041293e-8,0.2633162,0.1241588,0.5937149],"study_design_scores_gemma":[0.0001274547,0.0002045418,0.000005237208,0.01345526,0.001160073,0.00008332718,0.00001155439,0.0008366724,2.11717e-8,0.2750657,0.7085184,0.0005317462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.063788e-7,0.5639993,0.4271559,0.000003894398,0.0002705128,0.0009053012,0.006799541,0.00003426639,0.0008312116],"genre_scores_gemma":[5.271741e-7,0.5703048,0.4271763,0.00001585001,0.0001096791,0.0001198012,0.001931099,0.00006667191,0.0002752496],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5931832,"threshold_uncertainty_score":0.9996151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1754938258053004,"score_gpt":0.4213681988902794,"score_spread":0.2458743730849789,"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."}}