{"id":"W7118191717","doi":"10.1145/3731599.3787526","title":"10.1145/3731599.3787526","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Big data; Reduction (mathematics); Data reduction","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":[0.001925487,0.003318517,0.002561022,0.00344871,0.002600572,0.005573233,0.003106569,0.00518235,0.9298245],"category_scores_gemma":[0.004201252,0.002011439,0.001460798,0.01129609,0.001633294,0.01145992,0.006449364,0.002895793,0.9602033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251569,"about_ca_system_score_gemma":0.001279548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01864881,"about_ca_topic_score_gemma":0.0128605,"domain_scores_codex":[0.9991622,0.00006186945,0.00007421814,0.0002377895,0.0003073497,0.0001566782],"domain_scores_gemma":[0.9980243,0.0004317015,0.00008829263,0.0006984881,0.0004346749,0.0003224246],"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":[0.0002003183,0.000138839,0.000412534,0.0005786612,0.00004640274,0.0001786716,0.00009105511,0.0007001237,0.001018718,0.00653809,0.6950323,0.2950643],"study_design_scores_gemma":[0.0000311906,0.0000267783,0.0006872096,0.0002528759,0.00004320374,0.0001360373,0.00005804281,0.000742076,0.0005018609,0.0018095,0.9956779,0.00003335351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002107559,0.007421886,0.017192,0.001967292,0.002683914,0.0005542844,0.02746231,0.02330768,0.9173031],"genre_scores_gemma":[0.004201557,0.003277665,0.002973084,0.0008346347,0.0002228206,0.0002588351,0.01632928,0.003232587,0.9686695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07017547,"threshold_uncertainty_score":0.1000968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05608678229173016,"score_gpt":0.2962160592328205,"score_spread":0.2401292769410903,"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."}}