{"id":"W7019364055","doi":"","title":"Graphical Performance Software in Contexts: Explorations with Different Strokes","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Software; Interface (matter); Graphical user interface; Context (archaeology); Adaptation (eye); Situated; User interface; Graphical user interface testing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004165773,0.0003346234,0.0003725104,0.0002978196,0.0009442868,0.00005494491,0.0008067658,0.0002146097,0.00001908409],"category_scores_gemma":[0.0001854764,0.0002635437,0.00008243545,0.0006737494,0.0001985299,0.001957421,0.0004142908,0.00079345,0.00005328789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001547347,"about_ca_system_score_gemma":0.00001320315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002119547,"about_ca_topic_score_gemma":0.0003551834,"domain_scores_codex":[0.9978412,0.0001519633,0.0003741761,0.0005081978,0.0003829375,0.00074154],"domain_scores_gemma":[0.9986786,0.0001980495,0.0001202931,0.0007170115,0.0001049175,0.0001811424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000427441,0.0005068812,0.07929885,0.00004299566,0.00008847577,0.00002165316,0.00009973468,0.00001796771,0.0005966977,0.8153278,0.000007085999,0.1039491],"study_design_scores_gemma":[0.00629026,0.001645315,0.8095273,0.000690454,0.0001333768,0.0002841101,0.001010759,0.0007079334,0.03065581,0.08712002,0.05825778,0.003676917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957038,0.0002782013,0.0004629707,0.0001481724,0.0003560451,0.0002515052,0.00003534263,0.0004975706,0.002266429],"genre_scores_gemma":[0.9949327,0.00009927546,0.004276472,0.0003195185,0.00001992428,0.0001733596,0.000005303444,0.00002135181,0.0001521697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7302284,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983623003055273,"score_gpt":0.2196073609878539,"score_spread":0.1997711309573012,"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."}}