{"id":"W7027578255","doi":"","title":"The creation of hardware systems for professional artistic productions","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology","funders":"McGill University","keywords":"Set (abstract data type); Process (computing); Software; Perspective (graphical); Engineering design process; Design education; Design methods; Software design","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003908752,0.00051912,0.0002705387,0.0009994279,0.001168606,0.004371346,0.001470963,0.001075434,0.006465474],"category_scores_gemma":[0.005806285,0.0005953597,0.0006488554,0.000480238,0.002364561,0.004576442,0.004012345,0.00146943,0.001898576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008745326,"about_ca_system_score_gemma":0.001332253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006194905,"about_ca_topic_score_gemma":0.0007166195,"domain_scores_codex":[0.99753,0.0007650059,0.0001610821,0.0002004142,0.001147528,0.0001959221],"domain_scores_gemma":[0.9975522,0.0009805072,0.0001737646,0.0006437944,0.0004222207,0.0002275348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001025015,0.00008389624,0.002171169,0.001079044,0.00004421135,0.0004925803,0.007255662,0.01263046,0.04066396,0.5067784,0.01077214,0.4179259],"study_design_scores_gemma":[0.00006622078,0.0005811338,0.003250166,0.0008579579,0.00008596462,0.001538693,0.002705369,0.03790849,0.03775303,0.09822261,0.8169094,0.0001209644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04492442,0.002598113,0.8610615,0.002086186,0.0004355686,0.0003216236,0.00008200265,0.003337861,0.08515266],"genre_scores_gemma":[0.2994502,0.002439503,0.6657416,0.0003577524,0.0001623519,0.0002644685,0.0001472014,0.0005877314,0.03084916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006465474,"threshold_uncertainty_score":0.02162915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934889356876806,"score_gpt":0.2690854518156581,"score_spread":0.24973655824689,"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."}}