{"id":"W7154077249","doi":"10.1145/3772318.3808994","title":"10.1145/3772318.3808994","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Gesture; Affect (linguistics); Component (thermodynamics)","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":[0.001807467,0.003928348,0.002382274,0.002675312,0.002506952,0.004788681,0.002905831,0.005493329,0.9564419],"category_scores_gemma":[0.002583756,0.001876215,0.001293335,0.007810747,0.001568164,0.009565252,0.005679432,0.002584368,0.9664292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167592,"about_ca_system_score_gemma":0.000958699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752602,"about_ca_topic_score_gemma":0.01349506,"domain_scores_codex":[0.9993099,0.00004677189,0.00005563259,0.0002080334,0.0002189721,0.0001607286],"domain_scores_gemma":[0.9985876,0.0003178908,0.00006114474,0.0004288402,0.0003375472,0.0002669365],"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":[0.0003226192,0.0001872042,0.0004434503,0.0007262587,0.00004695131,0.0002441836,0.0001151421,0.0006165303,0.001911165,0.005628041,0.6624456,0.3273129],"study_design_scores_gemma":[0.00004712613,0.00003643147,0.0007877722,0.0002995715,0.00005115707,0.000163376,0.00009093247,0.0007814703,0.0006034388,0.001208731,0.9958884,0.00004151638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002024208,0.005036082,0.0110658,0.0008761557,0.001916823,0.000492132,0.01022159,0.01492143,0.9534457],"genre_scores_gemma":[0.00279912,0.001937327,0.00163259,0.0005682461,0.0001158209,0.0001893454,0.004660667,0.001563105,0.9865339],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04355806,"threshold_uncertainty_score":0.06213027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00479153820345264,"score_gpt":0.1855624781806857,"score_spread":0.1807709399772331,"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."}}