{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004723945,0.0001197493,0.0001305469,0.0001417623,0.00005710961,0.0002102845,0.0004326591,0.0001258771,0.1346546],"category_scores_gemma":[0.000001341372,0.0001021019,0.00007368275,0.00008160848,0.000008013,0.0001740144,0.0001458952,0.0001588946,0.9632396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000215752,"about_ca_system_score_gemma":0.00003462886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003309753,"about_ca_topic_score_gemma":0.000007888643,"domain_scores_codex":[0.9992409,0.00002111991,0.0001362671,0.0002979372,0.0001440504,0.0001597129],"domain_scores_gemma":[0.9995184,0.00002367082,0.00005386159,0.0003260021,0.00003479803,0.00004327961],"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":[1.61748e-7,0.000005813961,3.289154e-7,0.00001300173,0.000009531006,0.000003184235,0.00002307577,0.000002099692,0.000004703793,0.0001180443,0.9952952,0.004524818],"study_design_scores_gemma":[0.00004702671,0.000009310336,0.00005491127,0.00003098103,0.000002672599,0.000003749916,0.000003154237,0.000410634,0.0002452396,0.0005151838,0.9985073,0.0001698106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007522265,0.00003183202,0.1566297,0.0006294051,0.004398096,0.00006655182,0.000008673924,0.0001586466,0.8380696],"genre_scores_gemma":[0.00006867734,0.00005934107,0.001561838,0.00214868,0.0004355233,0.00002167655,0.00008435021,0.00001502163,0.9956049],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.828585,"threshold_uncertainty_score":0.8661364,"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."}}