{"id":"W7153980368","doi":"10.1145/3772318.3808927","title":"10.1145/3772318.3808927","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002165785,0.003552926,0.00265999,0.00317113,0.002583611,0.005827831,0.003191743,0.005268953,0.9459292],"category_scores_gemma":[0.00382901,0.002027536,0.001466589,0.01070555,0.001724911,0.01076136,0.006325765,0.002788468,0.9677278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660021,"about_ca_system_score_gemma":0.001403559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01763466,"about_ca_topic_score_gemma":0.01259797,"domain_scores_codex":[0.9991004,0.00006009263,0.00007727107,0.0002693458,0.0003028035,0.0001901252],"domain_scores_gemma":[0.9978768,0.0004372972,0.00009086081,0.0007282538,0.0004896189,0.0003771464],"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":[0.0002233852,0.0001662577,0.0004563882,0.0005520775,0.00004692041,0.0001889366,0.00009207016,0.0006984724,0.001163595,0.006659676,0.6873159,0.3024363],"study_design_scores_gemma":[0.00003649865,0.00002841686,0.0007151933,0.000236763,0.00004403468,0.0001259276,0.00006650605,0.000802688,0.0005183094,0.001724637,0.9956644,0.00003666871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001890004,0.004778618,0.01401481,0.001541616,0.002561997,0.0004808325,0.01793283,0.01988937,0.9369099],"genre_scores_gemma":[0.003591454,0.002136818,0.002346072,0.0007166931,0.0001661055,0.0002236673,0.01087344,0.002554451,0.9773914],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05407077,"threshold_uncertainty_score":0.07712537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05617792266690936,"score_gpt":0.2961816050126816,"score_spread":0.2400036823457722,"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."}}