{"id":"W4366968117","doi":"10.1145/3544793.3560362","title":"What Can You Do For Me? The Discoverability of Intelligent Assistant Skills","year":2022,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Discoverability; Leverage (statistics); Context (archaeology); Computer science; Internet privacy; Knowledge management; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004795444,0.00008136329,0.0001110843,0.00003465034,0.0002643715,0.0002007453,0.0012416,0.00001266156,0.0003172492],"category_scores_gemma":[0.00004792663,0.00005331215,0.0001198708,0.0002596029,0.00004073664,0.0004931716,0.0007429394,0.0001281587,0.000003853134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701727,"about_ca_system_score_gemma":0.00009299366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002402194,"about_ca_topic_score_gemma":0.000325513,"domain_scores_codex":[0.9989145,0.00009406933,0.0002681554,0.0002700436,0.0002915187,0.0001617549],"domain_scores_gemma":[0.9983724,0.0005154969,0.0001102467,0.0008659763,0.00009982787,0.00003610323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007461277,0.002213465,0.004208831,0.00009841745,0.0002521573,0.000004634518,0.05639523,0.02003222,0.001746631,0.8244302,0.01646177,0.07408178],"study_design_scores_gemma":[0.0007978569,0.001273953,0.0106437,0.00008667307,0.00008422416,0.00007548687,0.08422711,0.2743628,0.05500005,0.179784,0.3926373,0.001026803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1265479,0.0001687155,0.8261259,0.03923571,0.004825131,0.0009918037,0.00007700689,0.0001068561,0.001920974],"genre_scores_gemma":[0.9901096,0.00001498177,0.007008977,0.001095761,0.00002220605,0.0001816763,0.0000036858,0.000006073129,0.001556996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8635617,"threshold_uncertainty_score":0.3473656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786377374543409,"score_gpt":0.2897954328960122,"score_spread":0.2719316591505782,"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."}}