{"id":"W7125929930","doi":"10.1145/3768292.3793394","title":"10.1145/3768292.3793394","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Portfolio; Process (computing); Component (thermodynamics)","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":[0.002060167,0.003898404,0.002822402,0.00310844,0.002281432,0.004935334,0.00297411,0.005581484,0.9300392],"category_scores_gemma":[0.003524425,0.00199644,0.001516539,0.01100356,0.00164766,0.009993246,0.005762144,0.003375547,0.9506221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731428,"about_ca_system_score_gemma":0.001321205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029893,"about_ca_topic_score_gemma":0.01369726,"domain_scores_codex":[0.9992112,0.00005971571,0.00006247014,0.0002315703,0.0002721933,0.000162922],"domain_scores_gemma":[0.9981591,0.0004371134,0.0001091294,0.0006712326,0.0003543801,0.0002691305],"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":[0.0003254577,0.0002228759,0.0006165772,0.0006310742,0.00006114141,0.0002153931,0.00007595395,0.001328026,0.001273863,0.00745962,0.6812302,0.3065599],"study_design_scores_gemma":[0.00006605969,0.00004166833,0.0009398291,0.0002889152,0.00006070146,0.0001761736,0.00006707509,0.001743323,0.0007564396,0.003195605,0.9926301,0.00003414431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003454398,0.009034932,0.01749863,0.002770244,0.002812563,0.0005777494,0.03504841,0.02317597,0.9056271],"genre_scores_gemma":[0.00672183,0.00370397,0.003892074,0.001143817,0.0002405744,0.000284002,0.01682513,0.003160674,0.964028],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06996077,"threshold_uncertainty_score":0.09979057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05551599963377606,"score_gpt":0.3566894785234227,"score_spread":0.3011734788896466,"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."}}