{"id":"W2310078822","doi":"10.1109/ism.2015.43","title":"Quantitative Evaluation of Hair Texture","year":2015,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Texture (cosmology); Artificial intelligence; Computer science; Computer vision; Face (sociological concept); Relation (database); Pattern recognition (psychology); Image (mathematics); Data mining","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":[0.001246001,0.0004582127,0.0005194519,0.002475885,0.0003086701,0.000881754,0.0003449296,0.0004866878,0.002673069],"category_scores_gemma":[0.006138165,0.0001833648,0.0002743916,0.0008286845,0.0004986789,0.0007497536,0.0005752424,0.0002962925,0.0006144093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267205,"about_ca_system_score_gemma":0.0001333723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103894,"about_ca_topic_score_gemma":0.001415003,"domain_scores_codex":[0.9989806,0.0001604495,0.0000432106,0.0001883814,0.0005224304,0.0001049269],"domain_scores_gemma":[0.9967588,0.001275865,0.0004407562,0.0003322091,0.0009846148,0.0002078725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002099319,0.0002628831,0.08650586,0.001341666,0.0004051998,0.0004508138,0.0003780607,0.04691848,0.4956412,0.001611631,0.004508283,0.3598767],"study_design_scores_gemma":[0.0001017952,0.001298305,0.4226998,0.000169055,0.0002269971,0.003522299,0.0006787283,0.3606716,0.2004289,0.00258925,0.007456751,0.0001565503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8299693,0.002297287,0.1576057,0.0001284572,0.0001333723,0.0001500238,0.001327818,0.001733885,0.006654219],"genre_scores_gemma":[0.9778298,0.0002921195,0.01957067,0.00004642239,0.00004589171,0.00002274245,0.0008214045,0.000177246,0.001193607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002673069,"threshold_uncertainty_score":0.008942246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1502532455763075,"score_gpt":0.3857534373602812,"score_spread":0.2355001917839737,"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."}}