{"id":"W2903016838","doi":"10.1007/978-3-030-03574-7_12","title":"Shape Analysis of Carpal Bones Using Spectral Graph Wavelets","year":2018,"lang":"en","type":"book-chapter","venue":"Signals and communication technology","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Wavelet; Graph; Artificial intelligence; Computer vision; Invariant (physics); Computer science; Pattern recognition (psychology); Mathematics; Theoretical computer science","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":[0.0002060705,0.0004471074,0.0004136202,0.001034648,0.00017692,0.0008569346,0.0005504665,0.0005006223,0.003255349],"category_scores_gemma":[0.0006331517,0.0002374129,0.000611456,0.001331011,0.000480701,0.000655622,0.0004569793,0.0006094234,0.001477414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029453,"about_ca_system_score_gemma":0.000227336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006681392,"about_ca_topic_score_gemma":0.0006335766,"domain_scores_codex":[0.9998688,0.00001442674,0.000006353572,0.00002936058,0.0000702254,0.00001096344],"domain_scores_gemma":[0.9998647,0.00004118066,0.00001335642,0.00002445865,0.00004721972,0.000009050013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000163761,0.00002857409,0.0007529959,0.0002969733,0.00003749555,0.0001852049,0.0002190523,0.0641278,0.1511657,0.04644404,0.005498488,0.7310799],"study_design_scores_gemma":[0.00001452645,0.0001245809,0.005155719,0.00008953514,0.00005162261,0.001175088,0.0003066282,0.8587853,0.03616017,0.06854889,0.02951084,0.00007712783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0338545,0.001698878,0.9543272,0.0002163144,0.0001340416,0.0000260171,0.000192622,0.0004233224,0.009127136],"genre_scores_gemma":[0.3867559,0.004803835,0.5836475,0.0001368583,0.0002366972,0.00004396083,0.0007599521,0.0005719704,0.02304336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003255349,"threshold_uncertainty_score":0.01089019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0640738312792511,"score_gpt":0.3071741499719484,"score_spread":0.2431003186926973,"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."}}