{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002000422,0.003985848,0.00296504,0.003457616,0.002783814,0.005326447,0.003405021,0.005737519,0.9421247],"category_scores_gemma":[0.003696823,0.002204655,0.001443634,0.01119281,0.001599959,0.0117113,0.006267339,0.003179834,0.9674453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003074227,"about_ca_system_score_gemma":0.001232421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991703,"about_ca_topic_score_gemma":0.01477838,"domain_scores_codex":[0.9991012,0.00006076161,0.00007185007,0.0002650038,0.000308799,0.0001923971],"domain_scores_gemma":[0.9980143,0.0004227101,0.0001020879,0.0007192479,0.0004029487,0.0003386435],"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":[0.0002642651,0.0001898005,0.0004856606,0.0005527169,0.00004592454,0.0001878254,0.00008846506,0.0006809974,0.001117987,0.006423502,0.6946579,0.295305],"study_design_scores_gemma":[0.0000437156,0.00003642259,0.0007971083,0.000274055,0.00004731501,0.0001593233,0.0000708835,0.0008912584,0.0005494886,0.001696075,0.9953969,0.00003741844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002445453,0.006670213,0.01363388,0.001810885,0.002284277,0.000513838,0.02023345,0.02338029,0.9290278],"genre_scores_gemma":[0.004041187,0.002743085,0.002468497,0.0009219781,0.0001839321,0.0002288058,0.01089154,0.002749189,0.9757717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05787528,"threshold_uncertainty_score":0.08255196,"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."}}