{"id":"W7127907327","doi":"10.1145/3779232.3795825","title":"10.1145/3779232.3795825","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Augmented reality; Component (thermodynamics); Focus (optics); Affect (linguistics)","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":[0.001580817,0.003655054,0.002293581,0.002557059,0.002103945,0.00455305,0.002736385,0.0051259,0.9497777],"category_scores_gemma":[0.00235701,0.001659483,0.001219909,0.007520959,0.001345098,0.008598463,0.004933283,0.002383329,0.9619106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866965,"about_ca_system_score_gemma":0.0008984631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01713527,"about_ca_topic_score_gemma":0.01385921,"domain_scores_codex":[0.9993567,0.00004883227,0.0000604908,0.0001883775,0.0002058362,0.0001397579],"domain_scores_gemma":[0.9987878,0.0003017504,0.0000619803,0.0003633535,0.0002787038,0.0002063667],"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":[0.0003345177,0.0001575607,0.0004623843,0.0007742822,0.00004463784,0.0002640298,0.00009921431,0.0007879415,0.001948096,0.005299495,0.5977969,0.3920311],"study_design_scores_gemma":[0.00003679704,0.00003831651,0.0008014418,0.0002889975,0.00004995232,0.0001778733,0.00009292315,0.0008202679,0.0006071237,0.001157196,0.9958956,0.00003338502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002254279,0.005816439,0.01204228,0.0008563226,0.001672676,0.0004543287,0.01117312,0.01383602,0.9518945],"genre_scores_gemma":[0.002901974,0.002227671,0.001845533,0.0004825223,0.00009582232,0.0001738152,0.004870708,0.001324352,0.9860777],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05022228,"threshold_uncertainty_score":0.0716359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006447309672399624,"score_gpt":0.1875305477736305,"score_spread":0.1810832381012309,"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."}}