{"id":"W7154112780","doi":"10.1145/3772318.3809010","title":"10.1145/3772318.3809010","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Visualization; Data visualization; Virtual reality; 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":[0.001982206,0.004237714,0.002589702,0.003030611,0.002558307,0.005235075,0.002996065,0.005491962,0.9533374],"category_scores_gemma":[0.002825669,0.001985453,0.001460974,0.009079132,0.001648167,0.009747502,0.00562312,0.002992977,0.9683883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002519676,"about_ca_system_score_gemma":0.001172188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317043,"about_ca_topic_score_gemma":0.01609765,"domain_scores_codex":[0.9992839,0.00004593775,0.00005808183,0.0002015471,0.0002449802,0.0001655188],"domain_scores_gemma":[0.9983013,0.0003258621,0.00007002536,0.0005677372,0.0003909767,0.0003441869],"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":[0.0003018065,0.0002017425,0.0004588047,0.0005661665,0.00004566123,0.0002033343,0.00009766578,0.0007263593,0.001759544,0.006073794,0.6674739,0.3220913],"study_design_scores_gemma":[0.00004609408,0.00003908448,0.000808911,0.0002473298,0.00005285952,0.0001590917,0.00008406095,0.0009452989,0.0006605947,0.001434022,0.9954832,0.00003968759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002111119,0.004574166,0.01206686,0.001043694,0.002102965,0.0004540397,0.01201072,0.02018384,0.9454526],"genre_scores_gemma":[0.003150871,0.001950703,0.001880387,0.0005526224,0.0001307932,0.0001670242,0.005998671,0.002109937,0.9840589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04666263,"threshold_uncertainty_score":0.0665586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007887723744967335,"score_gpt":0.2176973131390469,"score_spread":0.2098095893940796,"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."}}