{"id":"W7118015757","doi":"10.1145/3712285.3787168","title":"10.1145/3712285.3787168","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); k-nearest neighbors algorithm; Nearest neighbor search; 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":[0.0001406319,0.0001026586,0.0000962409,0.00007400676,0.00006990484,0.0002255357,0.001096464,0.00002162696,0.9540979],"category_scores_gemma":[0.00000674088,0.00009805807,0.00003507564,0.0003527401,0.00001367305,0.0005559883,0.0002544297,0.00004893915,0.9875627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001316275,"about_ca_system_score_gemma":0.00001007266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008712638,"about_ca_topic_score_gemma":5.508461e-8,"domain_scores_codex":[0.9991138,0.00001970726,0.0001145249,0.0002986038,0.0001986505,0.0002547248],"domain_scores_gemma":[0.9992304,0.00001728299,0.0000167381,0.0006135309,0.00001770852,0.0001043668],"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":[0.00000224881,0.00001953938,4.734494e-8,0.000001237211,0.000004845288,0.000007646254,0.0000067165,0.00001628398,0.000003516742,0.00006249392,0.2790901,0.7207854],"study_design_scores_gemma":[0.0001206805,0.00006317184,0.00003212988,0.000005300708,0.000003513541,0.000002127626,1.64757e-7,0.00940853,0.00002577695,0.00005045111,0.9901459,0.0001422192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004216849,0.00001991304,0.0009465207,0.0008091711,0.000007141839,0.0001158391,0.000005345129,0.0002744596,0.9977794],"genre_scores_gemma":[0.00002843695,3.141738e-7,0.006337913,0.0002169198,0.00008904008,0.000009005102,0.00001152376,0.000007527753,0.9932993],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7206432,"threshold_uncertainty_score":0.3998692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005783491473290162,"score_gpt":0.1698792218710571,"score_spread":0.164095730397767,"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."}}