{"id":"W4298334798","doi":"","title":"Representation, Analysis and Recognition of 3D Humans:A Survey","year":2018,"lang":"en","type":"preprint","venue":"LillOA (Université de Lille (University Of Lille))","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Representation (politics); Computer science; Natural language processing; Pattern recognition (psychology); Artificial intelligence; Psychology; Political science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001097258,0.001262827,0.001495843,0.004667415,0.0003862289,0.002131031,0.001697078,0.001523173,0.0028142],"category_scores_gemma":[0.002035122,0.0007116747,0.001271359,0.004972104,0.001074443,0.003340166,0.001170445,0.0009641893,0.002721596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004424582,"about_ca_system_score_gemma":0.0008131469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386077,"about_ca_topic_score_gemma":0.001928629,"domain_scores_codex":[0.998665,0.0002168493,0.0001462728,0.0004061633,0.0005067497,0.00005888139],"domain_scores_gemma":[0.9991067,0.000347297,0.00009728065,0.0001353739,0.0002691513,0.00004409995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005085832,0.00008706406,0.001660599,0.002030727,0.00006352642,0.00007932053,0.0001759539,0.004290181,0.005379063,0.005829215,0.007285726,0.9730678],"study_design_scores_gemma":[0.00006458339,0.0008836773,0.02840705,0.003022924,0.0003869664,0.005835558,0.001937552,0.1970832,0.03623049,0.08744285,0.6382825,0.0004225672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01274649,0.3555653,0.6184965,0.001240693,0.0004309801,0.0002325744,0.0006750577,0.001168131,0.009444243],"genre_scores_gemma":[0.09532152,0.5036403,0.3846728,0.0009240293,0.001781082,0.0004765235,0.003848918,0.0003486816,0.008986123],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004667415,"threshold_uncertainty_score":0.009414434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248324535970266,"score_gpt":0.2272570747282454,"score_spread":0.1947738293685427,"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."}}