{"id":"W2977898923","doi":"10.22215/etd/2013-08573","title":"Pattern classification using novel order statistics and border identification methods","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Identification (biology); Order (exchange); Computer science; Statistics; Mathematics; Humanities; Art; Economics","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":[0.0003102671,0.0002352007,0.0002125965,0.0002151361,0.0001749397,0.0005413938,0.0003284194,0.000280679,0.0002697607],"category_scores_gemma":[0.00009787177,0.0002173495,0.0000294227,0.0002761951,0.0000198009,0.0006757024,0.00005476003,0.0002006083,0.00009755857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003594168,"about_ca_system_score_gemma":0.00009995931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002368296,"about_ca_topic_score_gemma":0.00005070317,"domain_scores_codex":[0.9983738,0.00009687918,0.0004562843,0.0005851702,0.0002906207,0.0001972571],"domain_scores_gemma":[0.9983274,0.0001196143,0.0003953141,0.000447893,0.000627413,0.00008238254],"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":[0.000003143331,0.00007354921,0.00003851054,0.0001594362,0.00002959289,3.779522e-7,0.0007183848,0.00001047631,0.1978549,0.005689641,0.002132854,0.7932891],"study_design_scores_gemma":[0.0004073214,0.00003069735,0.01524362,0.0001882997,0.00008815588,0.000009332569,0.001026185,0.9499254,0.02325476,0.005368356,0.003674742,0.0007831078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006638509,0.00009435288,0.9907817,0.00009670611,0.0009491526,0.000337206,0.00002335636,0.0001043474,0.0009746173],"genre_scores_gemma":[0.006432205,0.0001333355,0.9815721,0.0002005002,0.00006288617,0.00008136049,0.001426554,0.00003425127,0.01005679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9499149,"threshold_uncertainty_score":0.8863254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0571307982894445,"score_gpt":0.3981246098767338,"score_spread":0.3409938115872893,"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."}}