{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001918336,0.0007269401,0.001160495,0.004720546,0.0003744353,0.002430902,0.001106067,0.00094802,0.003978514],"category_scores_gemma":[0.01040133,0.0004089703,0.0006181019,0.004530177,0.003613683,0.003260671,0.001328099,0.001538296,0.002867915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076183,"about_ca_system_score_gemma":0.0009283712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008131883,"about_ca_topic_score_gemma":0.0005212894,"domain_scores_codex":[0.9983564,0.000374677,0.0001108362,0.0004019404,0.0007104346,0.00004574514],"domain_scores_gemma":[0.9955937,0.002476772,0.000429232,0.000577288,0.0008367806,0.00008616636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004098222,0.00002434441,0.002093405,0.002002859,0.0001281209,0.00009692043,0.0001640968,0.009214059,0.001727114,0.3576748,0.01938989,0.6074435],"study_design_scores_gemma":[0.00001163557,0.00008470286,0.006129948,0.001064876,0.00006066918,0.001390503,0.0002032544,0.0145648,0.00283996,0.6165352,0.3569899,0.000124605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008789618,0.5390349,0.3984308,0.004702624,0.002112717,0.00008894847,0.001794376,0.0007489909,0.04429707],"genre_scores_gemma":[0.2226887,0.6567632,0.09405389,0.00177203,0.006312566,0.0003012574,0.003164732,0.0005207743,0.01442277],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004720546,"threshold_uncertainty_score":0.01330948,"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."}}