{"id":"W7125922473","doi":"10.1145/3757377.3794994","title":"10.1145/3757377.3794994","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Human–robot interaction; Motion (physics); Human motion","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00146324,0.003602766,0.002141532,0.002645485,0.002074281,0.004015395,0.00256947,0.005055955,0.9321147],"category_scores_gemma":[0.002692001,0.001703572,0.001184565,0.007093059,0.001303474,0.008249336,0.005180802,0.002413324,0.9510816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204798,"about_ca_system_score_gemma":0.0009881594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02428636,"about_ca_topic_score_gemma":0.01819462,"domain_scores_codex":[0.9994505,0.00003940179,0.00005132243,0.000158121,0.0001849496,0.0001157017],"domain_scores_gemma":[0.9988501,0.0002554689,0.00005044331,0.0003855769,0.000263616,0.0001946918],"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":[0.0002732689,0.0001318202,0.0004552294,0.0005490444,0.00003942927,0.000169273,0.00008859496,0.000830791,0.001453183,0.005660692,0.6543621,0.3359865],"study_design_scores_gemma":[0.00003152125,0.0000233855,0.0007083664,0.0002255613,0.00004187133,0.0001222897,0.00006771609,0.0009003511,0.0004925208,0.00136687,0.9959937,0.00002589122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002309574,0.00664892,0.01526031,0.001213298,0.002457016,0.0004104866,0.01641174,0.01826267,0.937026],"genre_scores_gemma":[0.003930949,0.002753912,0.002209991,0.0005470862,0.0001605845,0.0001800422,0.007805864,0.001840969,0.9805705],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06788534,"threshold_uncertainty_score":0.09683019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00416166214153584,"score_gpt":0.1486228997483298,"score_spread":0.144461237606794,"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."}}