{"id":"W7153778866","doi":"10.1145/3772318.3808942","title":"10.1145/3772318.3808942","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); Session key; Training (meteorology)","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":[0.002216534,0.004204798,0.002774618,0.003146556,0.003000847,0.005359159,0.003227739,0.005862383,0.9521581],"category_scores_gemma":[0.003376754,0.002168643,0.001375607,0.009941481,0.001776995,0.01187165,0.00629523,0.002904338,0.9681143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002805508,"about_ca_system_score_gemma":0.001389119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295108,"about_ca_topic_score_gemma":0.01855747,"domain_scores_codex":[0.999099,0.00006210945,0.00007894738,0.000270382,0.000289785,0.0001997928],"domain_scores_gemma":[0.9983155,0.0003854317,0.00008167305,0.0005163422,0.0003852445,0.0003159758],"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":[0.0002854108,0.0001900369,0.0005047866,0.0007154868,0.00004963873,0.0002509187,0.0001242281,0.0006406934,0.001348363,0.006284158,0.6800144,0.309592],"study_design_scores_gemma":[0.0000386979,0.00003508941,0.0008216676,0.0002864719,0.00004656578,0.0001571183,0.0001015131,0.0007354015,0.0004767674,0.001327475,0.9959334,0.00003986706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002246049,0.006052796,0.01029226,0.001248457,0.002291282,0.0004886111,0.01345278,0.01568235,0.9482453],"genre_scores_gemma":[0.003235862,0.002269014,0.00180859,0.0006763557,0.0001239408,0.0002072651,0.006603106,0.001729458,0.9833465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04784191,"threshold_uncertainty_score":0.06824058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005981254864390317,"score_gpt":0.1935420119973587,"score_spread":0.1875607571329684,"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."}}