{"id":"W7125917433","doi":"10.1145/3768292.3793404","title":"10.1145/3768292.3793404","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Robust optimization; Robustness (evolution); Work (physics)","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":[0.00180665,0.003080551,0.002551382,0.002458643,0.001815894,0.004377947,0.002751688,0.005455537,0.9264591],"category_scores_gemma":[0.00359489,0.001786274,0.001351598,0.009356054,0.001340103,0.008658163,0.004951071,0.00302946,0.9528859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018453,"about_ca_system_score_gemma":0.000946806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403389,"about_ca_topic_score_gemma":0.008519222,"domain_scores_codex":[0.9993731,0.00005269792,0.00005459634,0.0001812541,0.0002106853,0.0001277628],"domain_scores_gemma":[0.9983348,0.0004046492,0.00009131368,0.0006352737,0.0002959559,0.0002379858],"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":[0.0002955301,0.0002156795,0.0005125911,0.0005689487,0.00005496634,0.0002303161,0.0000709775,0.001440956,0.001170592,0.008045067,0.6108907,0.3765037],"study_design_scores_gemma":[0.00005521354,0.00004036986,0.0008108063,0.0002582069,0.00004840301,0.0001651454,0.00005534454,0.001797282,0.0006694056,0.003085127,0.9929837,0.0000309982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002784601,0.007450884,0.01929678,0.002205591,0.00235161,0.00045522,0.02366982,0.01836419,0.9234213],"genre_scores_gemma":[0.007699447,0.003660238,0.00410386,0.001092945,0.0002281665,0.0002989484,0.01208903,0.002753855,0.9680734],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07354093,"threshold_uncertainty_score":0.1048971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814718165665549,"score_gpt":0.2802145995348411,"score_spread":0.2520674178781857,"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."}}