{"id":"W7154181870","doi":"10.1145/3772318.3809018","title":"10.1145/3772318.3809018","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); Conversation analysis; Action (physics); Conversation","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":[0.00008771405,0.0001131472,0.0001054688,0.00007804566,0.0001003281,0.0001385985,0.0009749892,0.00004179952,0.9822714],"category_scores_gemma":[0.00001140585,0.0001150896,0.00005134003,0.0003947862,0.00001479825,0.0004685106,0.0001527393,0.0001039913,0.994493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004533403,"about_ca_system_score_gemma":0.00002925194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005046814,"about_ca_topic_score_gemma":5.556382e-7,"domain_scores_codex":[0.9990569,0.00003294389,0.0001586996,0.0002959325,0.0001947437,0.0002607874],"domain_scores_gemma":[0.9990383,0.00007115247,0.00002576113,0.0006605446,0.0000613432,0.0001428828],"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":[0.000007764532,0.00004441991,1.476099e-7,0.000001855045,0.000009206808,0.000008105364,0.00007058788,0.0002170752,0.0000636018,0.00005914579,0.2454205,0.7540976],"study_design_scores_gemma":[0.00007044981,0.00007578711,0.00003139885,0.00001052488,0.000003384048,0.0000254002,7.017154e-7,0.006337552,0.0001036551,0.00008456448,0.9931148,0.0001417653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002876412,0.00001322477,0.0004427336,0.002359311,0.00001115045,0.0001040511,0.000003025048,0.000351877,0.996427],"genre_scores_gemma":[0.0002414499,1.499058e-7,0.008833609,0.0005077802,0.0001119354,0.0000178629,0.000002290052,0.00001194162,0.990273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7539558,"threshold_uncertainty_score":0.4693218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006052238149935614,"score_gpt":0.1946764616186337,"score_spread":0.1886242234686981,"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."}}