{"id":"W7125919911","doi":"10.1145/3768292.3793402","title":"10.1145/3768292.3793402","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Term (time)","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":[0.002244295,0.002966605,0.002589699,0.003023264,0.001679069,0.004623249,0.002809154,0.005578542,0.9276447],"category_scores_gemma":[0.004067574,0.002001686,0.001580998,0.01086242,0.001422627,0.009096983,0.00470124,0.003103958,0.9521598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727311,"about_ca_system_score_gemma":0.0008560079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638633,"about_ca_topic_score_gemma":0.01047711,"domain_scores_codex":[0.999396,0.00005864967,0.00005702847,0.0001748256,0.0002107245,0.0001026957],"domain_scores_gemma":[0.9981213,0.0005528084,0.00009931135,0.000654649,0.0003412999,0.0002306492],"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":[0.0002539023,0.0001948196,0.0006431792,0.0006393701,0.00006712348,0.0002353095,0.00006953255,0.001514739,0.00104127,0.006383365,0.6571431,0.3318143],"study_design_scores_gemma":[0.00005736577,0.00004440994,0.001324992,0.0003875465,0.00006907283,0.0001950119,0.00006632731,0.002402925,0.000760222,0.003395945,0.9912552,0.00004106626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003926394,0.01216835,0.02650404,0.003367858,0.003956049,0.0006315593,0.0474092,0.02464061,0.8773959],"genre_scores_gemma":[0.007105603,0.005103274,0.00484082,0.001106069,0.0003073658,0.0003153602,0.01818866,0.002844032,0.9601888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07235527,"threshold_uncertainty_score":0.1032059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0611075824760557,"score_gpt":0.313945238837439,"score_spread":0.2528376563613833,"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."}}