{"id":"W2402754599","doi":"10.5281/zenodo.1178288","title":"Optoelectronic Acquisition And Control Board For Musical Applications","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Musical; Computer science; Control (management); On board; Optoelectronics; Electrical engineering; Electronic engineering; Engineering; Materials science; Art; Artificial intelligence; Visual arts","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002615074,0.00008793355,0.00008812234,0.00009753247,0.00068345,0.0001399557,0.000229193,0.00006386355,0.0002566437],"category_scores_gemma":[0.0000723287,0.00009545835,0.00002547637,0.0001632766,0.00006843095,0.000131758,0.0001005442,0.0001460833,0.0003700507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008892502,"about_ca_system_score_gemma":9.646982e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.383275e-7,"about_ca_topic_score_gemma":2.851012e-8,"domain_scores_codex":[0.999265,0.00003226738,0.0001113513,0.0001450369,0.0000758813,0.0003705359],"domain_scores_gemma":[0.9996022,0.00002443808,0.0000206883,0.0001824883,0.00009299596,0.00007721652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003384697,0.00008066386,0.000007599555,0.0001301558,0.0000791185,4.50701e-7,0.0003557474,0.00002893218,0.4560266,0.02225271,0.1202217,0.4007825],"study_design_scores_gemma":[0.0004356758,0.0001085669,0.0001980611,0.000007155816,0.0000190867,0.00003747814,0.00007797772,0.0003189451,0.01749437,0.0003210834,0.9808565,0.0001250571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1794821,0.006099035,0.782122,0.001383279,0.0001451047,0.002026487,0.0002846371,0.009062928,0.01939444],"genre_scores_gemma":[0.9983031,0.0002122643,0.0004918796,0.00005561458,0.000145752,6.658127e-7,0.0002387369,0.000487516,0.00006452058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8606349,"threshold_uncertainty_score":0.5256614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089216135914661,"score_gpt":0.2114365495746489,"score_spread":0.2005443882155023,"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."}}