{"id":"W4406424857","doi":"10.1016/0967-0653(95)94116-8","title":"10.1016/0967-0653(95)94116-8","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":"Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007810481,0.0001162275,0.000168302,0.00009271976,0.0001609316,0.0001704655,0.000841793,0.00006175378,0.9981338],"category_scores_gemma":[0.0003120151,0.00009141098,0.00008449239,0.0007768074,0.00006234163,0.000113543,0.00009511183,0.00009798387,0.9986035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213585,"about_ca_system_score_gemma":0.00002471885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002620955,"about_ca_topic_score_gemma":3.629739e-7,"domain_scores_codex":[0.9984282,0.00004314421,0.0003517849,0.0003838021,0.0005495528,0.0002434783],"domain_scores_gemma":[0.9986495,0.0002555738,0.00006055474,0.0007511445,0.0001213338,0.0001619074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000643843,0.00001614508,6.339997e-8,1.969831e-7,0.000001086306,5.460652e-7,0.000005684939,0.0000241591,0.000009941278,0.00001756433,0.4893676,0.5105506],"study_design_scores_gemma":[0.00005524037,0.00007281814,0.00001657894,0.000006555354,0.000003929531,0.000007540216,0.000001281426,0.001278596,0.0001191949,0.001846289,0.9964649,0.0001270611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003378152,0.00002359819,0.00006211935,0.001057293,0.000001118404,0.0002080183,0.00002550086,0.0002683325,0.9980162],"genre_scores_gemma":[0.0003707105,1.75021e-7,0.003163352,0.00007584631,0.00009219886,0.00004962905,0.000006780611,0.000014713,0.9962266],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5104235,"threshold_uncertainty_score":0.3727632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04513168657585678,"score_gpt":0.2822221004980654,"score_spread":0.2370904139222086,"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."}}