{"id":"W7134279095","doi":"10.1145/3742413.3801714","title":"10.1145/3742413.3801714","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); MEDLINE; Attendance; 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":[0.002130058,0.004361227,0.003136511,0.003237659,0.003044503,0.005648469,0.003560567,0.00687142,0.9467524],"category_scores_gemma":[0.003999163,0.002640102,0.001558683,0.01083301,0.001890189,0.01340248,0.00742767,0.003522506,0.9674095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003095399,"about_ca_system_score_gemma":0.001386977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02336381,"about_ca_topic_score_gemma":0.01671035,"domain_scores_codex":[0.999086,0.00006343004,0.00007746925,0.0002823524,0.0002994182,0.0001913964],"domain_scores_gemma":[0.9980682,0.0004432641,0.00009846938,0.0006584422,0.0004069619,0.0003247583],"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":[0.0002685171,0.0001804437,0.000494536,0.0007392619,0.00005252513,0.0002226965,0.0001080663,0.0007359337,0.001233964,0.006709622,0.6854844,0.30377],"study_design_scores_gemma":[0.00003877467,0.00003172674,0.0007757616,0.000270509,0.00004468427,0.0001581555,0.0000702688,0.0006922703,0.0004793557,0.001423554,0.9959781,0.00003683537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00226171,0.007475921,0.01180699,0.001599387,0.002179307,0.0005600108,0.0201663,0.02234849,0.9316019],"genre_scores_gemma":[0.003668362,0.002820386,0.002093715,0.0008083659,0.0001530164,0.0002395551,0.009474064,0.002706685,0.9780358],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05324757,"threshold_uncertainty_score":0.0759511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00606394562145578,"score_gpt":0.1943817205356942,"score_spread":0.1883177749142385,"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."}}