{"id":"W2967889582","doi":"10.1145/3342775.3342795","title":"\"I don't know what you're talking about, HALexa\"","year":2019,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Popularity; Usability; Computer science; Foundation (evidence); World Wide Web; Human–computer interaction; Internet privacy; Psychology; Political science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001245255,0.0001310405,0.0001263405,0.00008891133,0.00008936104,0.0008146467,0.001109848,0.00006306753,0.002125927],"category_scores_gemma":[0.0000100885,0.0001158145,0.00007669285,0.0002238417,0.00001566275,0.003906136,0.0004383611,0.0001806764,0.005067194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005680069,"about_ca_system_score_gemma":0.00003808752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001781164,"about_ca_topic_score_gemma":0.0001736793,"domain_scores_codex":[0.998844,0.0000297754,0.0001894722,0.0003997549,0.0002475867,0.0002894031],"domain_scores_gemma":[0.9987042,0.0001205368,0.00007064926,0.0009197675,0.0001022657,0.00008259454],"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":[0.00001376717,0.0003613834,0.01589286,0.0001232493,0.0001398881,0.00007137346,0.008417971,0.001331662,0.008227284,0.4395842,0.03441956,0.4914168],"study_design_scores_gemma":[0.0005669866,0.0001475794,0.007158665,0.0004293186,0.00001220431,0.0001223191,0.004074765,0.157913,0.007658208,0.004385723,0.8167048,0.0008264658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1688677,0.001008073,0.3330314,0.01928284,0.01176484,0.0006059195,0.000002041387,0.00151541,0.4639218],"genre_scores_gemma":[0.9286921,0.00008974315,0.03370802,0.004424153,0.0001816588,0.00001536836,0.000002735997,0.00001954892,0.03286667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7822852,"threshold_uncertainty_score":0.9987863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066151038747058,"score_gpt":0.2566286134908312,"score_spread":0.2459671031033606,"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."}}