{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003247654,0.0006115743,0.0003433836,0.0006131743,0.0003168487,0.0006823397,0.0008788129,0.0004623796,0.01943706],"category_scores_gemma":[0.0004313746,0.000247092,0.0001780382,0.000401517,0.0002347778,0.000595264,0.000505831,0.000602365,0.005301822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779971,"about_ca_system_score_gemma":0.0005720387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004855741,"about_ca_topic_score_gemma":0.0006019048,"domain_scores_codex":[0.9996254,0.00002761343,0.00002465785,0.0001073167,0.0001769947,0.00003798262],"domain_scores_gemma":[0.9998097,0.00003263978,0.00002894901,0.00003684311,0.00006761792,0.0000243032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003780716,0.0001057363,0.0006324054,0.0003352691,0.0000204307,0.0002472216,0.00008458441,0.001017305,0.7105585,0.009843606,0.018371,0.2584059],"study_design_scores_gemma":[0.0001783548,0.0006004097,0.005659068,0.00006107445,0.00005470424,0.001574517,0.00004785844,0.02392395,0.5996112,0.001536621,0.3666641,0.00008822029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08577327,0.004119594,0.8121361,0.001153147,0.002055266,0.001213736,0.002396394,0.02272939,0.06842306],"genre_scores_gemma":[0.42905,0.001736185,0.4332998,0.001544452,0.0005254255,0.001274257,0.002371688,0.00105661,0.1291415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01943706,"threshold_uncertainty_score":0.06502348,"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."}}