{"id":"W7033635521","doi":"","title":"From Recognition in Brain to Recognition in Perceptual Vision Systems","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facial recognition system; Biometrics; Video processing; Videoconferencing; Video tracking; Perception; Vendor; Memorization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00111814,0.0007354523,0.0006590692,0.001702652,0.0006830472,0.004404585,0.00137303,0.002252345,0.004716544],"category_scores_gemma":[0.002241726,0.0003981692,0.0006235815,0.001374306,0.006354959,0.00761488,0.001422133,0.002716111,0.00152576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374024,"about_ca_system_score_gemma":0.0007183395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283238,"about_ca_topic_score_gemma":0.000688197,"domain_scores_codex":[0.9993543,0.0002375947,0.00004294137,0.0001598932,0.0001383494,0.00006701033],"domain_scores_gemma":[0.999281,0.0004366542,0.00003481523,0.00009181431,0.000105151,0.00005055683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004202176,0.00003294368,0.0004668845,0.0006628537,0.00006022434,0.0001559032,0.001121582,0.003750497,0.003140587,0.840536,0.01054495,0.1394855],"study_design_scores_gemma":[0.000006843683,0.00003428054,0.0005362281,0.0001817147,0.00001091951,0.0001229241,0.0002235777,0.004475812,0.001071302,0.9447685,0.04853738,0.00003060236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0140435,0.2125772,0.6125298,0.03422211,0.002701161,0.0001320261,0.0002404996,0.001002273,0.1225514],"genre_scores_gemma":[0.4350736,0.1787934,0.326649,0.01100586,0.006952785,0.0006761647,0.0005751057,0.0004433551,0.03983075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004716544,"threshold_uncertainty_score":0.01577842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06317271772816081,"score_gpt":0.2378439709197198,"score_spread":0.174671253191559,"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."}}