{"id":"W4385301327","doi":"10.1109/iv55152.2023.10186637","title":"Front Matter","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Committee, Aristotle University of Thessaloniki; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; University of Waterloo; European Commission","keywords":"Computer science; Front (military); Physics; Meteorology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007392298,0.002003297,0.001231137,0.002058632,0.001990567,0.009154831,0.002109983,0.006029806,0.8990899],"category_scores_gemma":[0.002459862,0.0005452005,0.001099432,0.001480626,0.001280822,0.005442176,0.003715367,0.002709919,0.8882599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612326,"about_ca_system_score_gemma":0.001707632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675307,"about_ca_topic_score_gemma":0.002108415,"domain_scores_codex":[0.9988351,0.0000824426,0.00006831878,0.0004259713,0.0004070179,0.0001811538],"domain_scores_gemma":[0.9984398,0.0002166514,0.0001001237,0.0002571339,0.0005313428,0.0004549204],"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":[0.0001292834,0.0001211645,0.0008693163,0.0006549543,0.00002126085,0.0003355487,0.000124937,0.0002330096,0.002734603,0.01210658,0.6681229,0.3145464],"study_design_scores_gemma":[0.00001175764,0.00002034054,0.0003268578,0.000143429,0.000004114281,0.0001908946,0.00008062583,0.0001469623,0.0003188117,0.001399858,0.9973488,0.00000754745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001127146,0.002319144,0.002487364,0.004443191,0.003854265,0.0001371851,0.002538208,0.002933854,0.9801596],"genre_scores_gemma":[0.003174008,0.001821843,0.001133638,0.002201557,0.000555664,0.00006203425,0.002217793,0.0006001981,0.9882331],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8990899,"threshold_uncertainty_score":0.1439359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694946319249219,"score_gpt":0.2678739830012486,"score_spread":0.2409245198087564,"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."}}