{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002355142,0.0002423269,0.0002331885,0.001394999,0.001305576,0.002456232,0.0004313084,0.0009988748,0.004365989],"category_scores_gemma":[0.03214304,0.0001650399,0.0002778224,0.0007298458,0.001945873,0.004688444,0.001739594,0.001135395,0.001414956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005078493,"about_ca_system_score_gemma":0.0008080716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213062,"about_ca_topic_score_gemma":0.003050876,"domain_scores_codex":[0.9981328,0.0007018003,0.00009658874,0.0002486095,0.000609434,0.0002108149],"domain_scores_gemma":[0.9834723,0.01057183,0.002366344,0.0009708819,0.00120871,0.001409919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006634418,0.0004705692,0.2885104,0.0007400727,0.0001186974,0.001522351,0.1322547,0.0005265824,0.006223034,0.02359175,0.01661316,0.5287653],"study_design_scores_gemma":[0.00009852884,0.001264892,0.4088029,0.001080405,0.0002081289,0.007944272,0.2403566,0.006982353,0.004793954,0.1132123,0.2149513,0.0003043859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047315,0.002626498,0.01687443,0.01209202,0.0002155603,0.00007947691,0.0003472118,0.0002355598,0.06279775],"genre_scores_gemma":[0.9868836,0.0008522518,0.006341632,0.0008167732,0.00005573371,0.00003840867,0.0001459851,0.00003570868,0.004829897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004365989,"threshold_uncertainty_score":0.01460564,"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."}}