{"id":"W7009826153","doi":"","title":"Face recognition using histograms of fuzzy oriented gradients","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Histogram; Pattern recognition (psychology); Facial recognition system; Feature (linguistics); Face (sociological concept); Histogram of oriented gradients; Fuzzy logic","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003122036,0.0001669526,0.0002983118,0.00077639,0.0001446562,0.0004739797,0.0002787712,0.0002566051,0.001251831],"category_scores_gemma":[0.0007555827,0.0001382228,0.0002211744,0.0004285472,0.000193157,0.0006646532,0.0002851257,0.0002213389,0.0004690713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450625,"about_ca_system_score_gemma":0.0002225973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183842,"about_ca_topic_score_gemma":0.002461997,"domain_scores_codex":[0.9998368,0.00002534689,0.000007714472,0.00003080405,0.00007651238,0.00002275502],"domain_scores_gemma":[0.9998416,0.00003722428,0.00001471966,0.00002327999,0.00007139563,0.00001179285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002014612,0.00006388758,0.001536081,0.00008969608,0.00004403568,0.00005528223,0.00004000649,0.01850805,0.1237647,0.004629462,0.002799332,0.848268],"study_design_scores_gemma":[0.0000476691,0.0002535799,0.01476719,0.00003948713,0.00004664921,0.0005396939,0.00009069035,0.8176348,0.1457581,0.01331942,0.007412803,0.00008993998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09175634,0.001027191,0.901281,0.000165396,0.0001234229,0.00007995101,0.0002511265,0.001465299,0.003850365],"genre_scores_gemma":[0.6412368,0.0005950278,0.3550237,0.0001295494,0.00005999872,0.00005631668,0.0003503296,0.00005575317,0.002492449],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002183842,"threshold_uncertainty_score":0.004342258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034177376071553,"score_gpt":0.2423199598449738,"score_spread":0.2119781860842582,"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."}}