{"id":"W7138399185","doi":"10.1145/3756884.3795816","title":"10.1145/3756884.3795816","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); Visualization; Data visualization; Virtual reality; Video recording","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":[0.001770252,0.003819061,0.00244004,0.002576292,0.002517146,0.004564959,0.002919592,0.00609993,0.9395875],"category_scores_gemma":[0.002836746,0.001953621,0.001298657,0.007468465,0.001541555,0.01064949,0.005869118,0.002842702,0.9556196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002098574,"about_ca_system_score_gemma":0.001000105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407768,"about_ca_topic_score_gemma":0.01935292,"domain_scores_codex":[0.9993206,0.00004680479,0.00005819603,0.0002007318,0.0002224519,0.00015115],"domain_scores_gemma":[0.9985685,0.0003236704,0.0000667013,0.0004614617,0.00032571,0.0002540116],"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":[0.0003188674,0.0001606736,0.0004795493,0.0006413821,0.00004511938,0.0001811687,0.00009956017,0.000628088,0.001519563,0.004882885,0.656785,0.3342581],"study_design_scores_gemma":[0.00004210703,0.00003079471,0.0008242793,0.0002621707,0.00004782887,0.0001332225,0.00008005612,0.0007075084,0.0004611185,0.001270342,0.9961097,0.00003081801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002421061,0.007715039,0.01264735,0.001336735,0.002277965,0.0005503925,0.01406917,0.01706642,0.9419158],"genre_scores_gemma":[0.003268773,0.002732153,0.001777485,0.0006701741,0.0001498238,0.0001942599,0.00602637,0.001665068,0.9835158],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06041253,"threshold_uncertainty_score":0.08617103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004727600676866403,"score_gpt":0.1850943750165398,"score_spread":0.1803667743396734,"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."}}