{"id":"W7154181928","doi":"10.1145/3772318.3808939","title":"10.1145/3772318.3808939","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; 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":[0.002040475,0.004008141,0.002641215,0.003085673,0.003086719,0.005397733,0.003091039,0.005515448,0.9492525],"category_scores_gemma":[0.003290712,0.00200443,0.001356374,0.009798129,0.001757968,0.01148714,0.006344658,0.002804947,0.9660758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860655,"about_ca_system_score_gemma":0.001431705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02442176,"about_ca_topic_score_gemma":0.01938422,"domain_scores_codex":[0.9991223,0.00005993832,0.00007562678,0.0002594357,0.0002895739,0.0001931671],"domain_scores_gemma":[0.9983998,0.0003549581,0.0000740957,0.0004901774,0.0003910787,0.0002898041],"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":[0.0002705396,0.00017199,0.0004684399,0.0006692734,0.00004707061,0.0002455439,0.0001197104,0.0006260497,0.001348341,0.006428145,0.6917317,0.2978732],"study_design_scores_gemma":[0.00003565583,0.00003222209,0.0007646222,0.0002683486,0.00004596065,0.0001498275,0.00009426943,0.0007643583,0.0004858627,0.001384539,0.9959364,0.00003791387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002178639,0.005766967,0.01032902,0.001273648,0.002343153,0.0004740388,0.0136891,0.0155845,0.9483609],"genre_scores_gemma":[0.00329702,0.002220351,0.001723991,0.000648707,0.000124602,0.0001907382,0.006870773,0.001747267,0.9831765],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05074751,"threshold_uncertainty_score":0.07238507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005985034206700394,"score_gpt":0.1935545377924117,"score_spread":0.1875695035857113,"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."}}