{"id":"W7118254774","doi":"10.1145/3725843.3786398","title":"10.1145/3725843.3786398","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); Component (thermodynamics); Session key; Key (lock)","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":[0.002791366,0.0001160194,0.0001722099,0.0002401301,0.0001842599,0.0005990746,0.001344626,0.00002939387,0.9961948],"category_scores_gemma":[0.0006817299,0.00008973524,0.00007499567,0.00110792,0.00004693045,0.0001874054,0.0003164191,0.00005942789,0.9974923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002141175,"about_ca_system_score_gemma":0.00002107532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420394,"about_ca_topic_score_gemma":3.450796e-7,"domain_scores_codex":[0.9973454,0.00009175524,0.0003898503,0.0006942063,0.001162441,0.0003163003],"domain_scores_gemma":[0.9979384,0.000314774,0.00005027164,0.001398751,0.0001011559,0.0001966258],"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":[0.000009477142,0.00001610172,4.028235e-7,2.535507e-7,0.000002143297,0.000002522738,0.00001150287,0.0002546984,0.000003670713,0.000003649863,0.4891531,0.5105425],"study_design_scores_gemma":[0.0001096121,0.00004825769,0.0002079503,0.000005552113,0.000004699767,0.000002757061,0.000005320775,0.003214147,0.00001418237,0.0001866167,0.9960736,0.0001273197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002795077,0.00001815887,0.00004647686,0.0009230697,0.00002837426,0.0001355973,0.00002120527,0.0001321148,0.9958999],"genre_scores_gemma":[0.0009911103,6.377998e-8,0.0004993976,0.0001729757,0.0001070898,0.000004668064,0.00001020272,0.000007944764,0.9982066],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5104152,"threshold_uncertainty_score":0.5776891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05651640821422355,"score_gpt":0.2965154590193946,"score_spread":0.239999050805171,"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."}}