{"id":"W2164845931","doi":"10.1145/2617841.2620703","title":"<i>\"Which brew are you going to choose?\"</i>","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Newcastle University","keywords":"Bespoke; Gesture; Window (computing); Computer science; Process (computing); Track (disk drive); Multimedia; Human–computer interaction; World Wide Web; Business; Advertising; Marketing; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005388049,0.0006420715,0.0002447946,0.0004595054,0.00128371,0.002689988,0.0007044428,0.001439044,0.04866604],"category_scores_gemma":[0.002212838,0.000243535,0.0003522213,0.000428012,0.0007917911,0.00172416,0.001631189,0.0008822872,0.01129408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003017779,"about_ca_system_score_gemma":0.0002834585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793437,"about_ca_topic_score_gemma":0.004951819,"domain_scores_codex":[0.9996688,0.0001181245,0.00002017926,0.00005951287,0.00006494331,0.00006848105],"domain_scores_gemma":[0.9993089,0.0003372008,0.00007565136,0.00006286,0.00009132627,0.0001240277],"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":[0.00105078,0.0004996649,0.02053212,0.001408419,0.00006451377,0.003998088,0.05079672,0.001665396,0.06608182,0.06226379,0.419491,0.3721477],"study_design_scores_gemma":[0.00002228651,0.0002718772,0.01045388,0.0003830508,0.00004754102,0.002028315,0.01432882,0.005303261,0.01281148,0.005021985,0.9491949,0.0001326673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1306745,0.001727249,0.3417166,0.01172736,0.001594906,0.001327314,0.004587746,0.01217151,0.4944728],"genre_scores_gemma":[0.4857152,0.001712832,0.3035263,0.004196662,0.0005112798,0.001584472,0.003734603,0.00211566,0.1969032],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04866604,"threshold_uncertainty_score":0.1628041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008328089378682435,"score_gpt":0.2383271123484188,"score_spread":0.2299990229697364,"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."}}