{"id":"W2163182675","doi":"10.1109/tpami.2013.187","title":"A Fair Comparison Should Be Based on the Same Protocol--Comments on \"Trainable Convolution Filters and Their Application to Face Recognition\"","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wenzhou University; University of Northern British Columbia","keywords":"Computer science; Facial recognition system; Artificial intelligence; Kernel (algebra); Classifier (UML); Pattern recognition (psychology); Face (sociological concept); Protocol (science); Convolution (computer science); Three-dimensional face recognition; Face detection; Computer vision; Mathematics; Artificial neural network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03577314,0.001380206,0.001866104,0.001624116,0.003786684,0.004763532,0.007239019,0.0161676,0.01532555],"category_scores_gemma":[0.1965264,0.0008637432,0.002481626,0.001322187,0.005536797,0.01068426,0.003813818,0.01551148,0.01292602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002562296,"about_ca_system_score_gemma":0.00273679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004029423,"about_ca_topic_score_gemma":0.002855544,"domain_scores_codex":[0.9672496,0.01180368,0.003774569,0.002124637,0.0134384,0.001609129],"domain_scores_gemma":[0.8645368,0.055904,0.004529902,0.01457115,0.0585903,0.00186785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006714024,0.0002400337,0.001211562,0.0006945162,0.000165672,0.0007577761,0.0008096751,0.001848354,0.00554577,0.117158,0.8194449,0.05145231],"study_design_scores_gemma":[0.0001427117,0.0007296674,0.00436583,0.001076045,0.0001387791,0.0009212985,0.001257394,0.009200579,0.02257139,0.1654069,0.7936379,0.0005514935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004804964,0.002660325,0.1036292,0.7234887,0.1409959,0.0009105376,0.001151158,0.002090976,0.02026829],"genre_scores_gemma":[0.06869271,0.00305354,0.131515,0.6902614,0.04317485,0.003854088,0.001088353,0.001676133,0.05668397],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03577314,"threshold_uncertainty_score":0.1891887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04953457564605248,"score_gpt":0.2984483917661311,"score_spread":0.2489138161200786,"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."}}