{"id":"W7125966064","doi":"10.1145/3757377.3794992","title":"10.1145/3757377.3794992","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); Personalization; Generative grammar; Generative model","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":[0.001936017,0.003216698,0.002372778,0.003118234,0.00247544,0.005295823,0.002817705,0.005105456,0.9294079],"category_scores_gemma":[0.003841432,0.001824457,0.001373684,0.01061593,0.00161579,0.01032368,0.005700693,0.002667358,0.9555169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254503,"about_ca_system_score_gemma":0.001377718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02393808,"about_ca_topic_score_gemma":0.01748454,"domain_scores_codex":[0.9991716,0.00006213079,0.0000744136,0.0002430226,0.0002868458,0.000162],"domain_scores_gemma":[0.9981971,0.0003925013,0.00008136687,0.0006128879,0.000422031,0.00029405],"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":[0.0002087245,0.0001365821,0.000460852,0.000507268,0.00004407454,0.0001640458,0.00008261124,0.0007751048,0.0009928738,0.006191358,0.6913292,0.2991073],"study_design_scores_gemma":[0.00003140091,0.00002065135,0.0006712727,0.0002332944,0.00004024903,0.00011035,0.00006387118,0.0008577218,0.0004061098,0.001877035,0.9956602,0.00002779608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0020811,0.006264359,0.01558535,0.002016624,0.002663139,0.000486071,0.02222188,0.01808818,0.9305933],"genre_scores_gemma":[0.004249701,0.002969513,0.002933708,0.0008579784,0.0001969205,0.0002248606,0.01350675,0.00248234,0.9725782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07059211,"threshold_uncertainty_score":0.1006911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697461113089036,"score_gpt":0.2968139675762007,"score_spread":0.2398393564453103,"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."}}