{"id":"W7118185187","doi":"10.1145/3731599.3787543","title":"10.1145/3731599.3787543","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Resource (disambiguation); Component (thermodynamics); 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":[0.001929962,0.0001085966,0.0001852644,0.0001441945,0.0001077229,0.0002900078,0.001024709,0.00003710185,0.998235],"category_scores_gemma":[0.0004757855,0.00008635405,0.0000695236,0.0005793585,0.00004341719,0.0003076914,0.0002065855,0.00006036952,0.9983443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001863536,"about_ca_system_score_gemma":0.0000178099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003622924,"about_ca_topic_score_gemma":0.000001013301,"domain_scores_codex":[0.9979007,0.0001312741,0.0003770026,0.0004095726,0.000921224,0.000260268],"domain_scores_gemma":[0.9985585,0.0002674249,0.00004758672,0.000891808,0.00006592266,0.0001687847],"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":[0.00001853581,0.00002232341,8.594372e-8,5.565036e-7,0.00000371877,0.000002805636,0.00001515683,0.00003362099,0.000003162467,0.0000377733,0.4836609,0.5162014],"study_design_scores_gemma":[0.0001312507,0.00007230815,0.00009443734,0.000004237193,0.000006405521,0.000001556603,0.000008578419,0.0001726151,0.00001697625,0.0006684626,0.9986954,0.0001277546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005026844,0.0000175098,0.00002734083,0.00198448,0.000007360936,0.0001628833,0.00004655609,0.00008336702,0.9971678],"genre_scores_gemma":[0.0002430985,3.180268e-7,0.0003009579,0.0007063577,0.00007829002,0.00001070803,0.00001527722,0.000008167549,0.9986368],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5160736,"threshold_uncertainty_score":0.3521416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07682765995816798,"score_gpt":0.3232557826531851,"score_spread":0.2464281226950171,"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."}}