{"id":"W7127957120","doi":"10.1145/3779232.3795823","title":"10.1145/3779232.3795823","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Metaverse; Cultural heritage; Digital native","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":[0.002132928,0.003445077,0.00239843,0.002843294,0.003391088,0.006191063,0.003217311,0.006695236,0.9622336],"category_scores_gemma":[0.003928473,0.002181911,0.001452114,0.009273496,0.001729362,0.01359974,0.007208259,0.00299925,0.9779374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481376,"about_ca_system_score_gemma":0.001278372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678802,"about_ca_topic_score_gemma":0.01573744,"domain_scores_codex":[0.9992012,0.00005850832,0.00007741223,0.0002359001,0.0002447393,0.0001822253],"domain_scores_gemma":[0.9980747,0.0004309791,0.00009719545,0.0005985494,0.0003819754,0.0004167171],"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":[0.0002305564,0.0001660599,0.0005342031,0.0006731201,0.00003640658,0.0002287785,0.0001268914,0.0004049163,0.001032395,0.006633992,0.6636936,0.326239],"study_design_scores_gemma":[0.00002871372,0.00002627863,0.0007364877,0.0002696889,0.00003208221,0.0001248168,0.0001111513,0.0004329057,0.000320266,0.001229121,0.9966586,0.00002990933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001376615,0.003555586,0.006442757,0.001186669,0.001765835,0.0003316763,0.007563755,0.0107278,0.9670493],"genre_scores_gemma":[0.001879612,0.001546839,0.00112437,0.0004917974,0.0001029758,0.0001490573,0.00358035,0.001257952,0.989867],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0377664,"threshold_uncertainty_score":0.05386919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219934122175407,"score_gpt":0.1715703760925761,"score_spread":0.1495769638750354,"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."}}