{"meta":{"query_hash":"0a38e663af88","filters":{"venue":"IEEE International Conference on Automatic Face and Gesture Recognition"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/0a38e663af88","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+International+Conference+on+Automatic+Face+and+Gesture+Recognition"},"results":[{"id":"W1743548136","doi":"","title":"Database construction & recognition for multi-view face","year":2004,"lang":"en","type":"article","venue":"IEEE International Conference on Automatic Face and Gesture Recognition","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Facial recognition system; Computer science; Artificial intelligence; Rendering (computer graphics); Three-dimensional face recognition; Face (sociological concept); Computer vision; Face Recognition Grand Challenge; Face detection; Pattern recognition (psychology)","score_opus":0.10974905321066654,"score_gpt":0.33270669685496573,"score_spread":0.2229576436442992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1743548136","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040914964,0.0005952156,0.9484645,0.00020230663,0.00023614921,0.00044239208,0.0024819237,0.0041315663,0.0025309115],"genre_scores_gemma":[0.23306571,0.00049820414,0.746865,0.00016644421,0.000061295206,0.00076928973,0.014723155,0.00022317858,0.003627758],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981426,0.00016763121,0.00013941452,0.0005090191,0.00087398937,0.00016727412],"domain_scores_gemma":[0.9983553,0.00010887678,0.000063486856,0.00076562207,0.0006262331,0.00008049536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011770906,0.00048623595,0.0013209305,0.0019582058,0.0006738433,0.0015662436,0.0022051916,0.000736537,0.0052917954],"category_scores_gemma":[0.0026245597,0.00035327201,0.0010592832,0.001585759,0.0003386545,0.0022456432,0.0017350692,0.0009041107,0.0033952794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000561475,0.00036468895,0.003999729,0.00030262148,0.000089150446,0.00029008277,0.00019942461,0.009948273,0.114366494,0.010449994,0.017956443,0.8414716],"study_design_scores_gemma":[0.00015961012,0.0013602558,0.015792372,0.000059045076,0.00016604646,0.0038844622,0.0007841831,0.46051508,0.42555988,0.016788816,0.074697405,0.00023294271],"about_ca_topic_score_codex":0.003924225,"about_ca_topic_score_gemma":0.002526095,"teacher_disagreement_score":0.0052917954,"about_ca_system_score_codex":0.00071737904,"about_ca_system_score_gemma":0.000952106,"threshold_uncertainty_score":0.017702818},"labels":[],"label_agreement":null}]}