{"id":"W1591557114","doi":"","title":"INTEROPERABILITY AND THE MARSYAS 0.2 RUNTIME","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Victoria","funders":"","keywords":"Computer science; Flexibility (engineering); Interoperability; Variety (cybernetics); Software; Runtime system; Distributed computing; Programming language; Computer architecture; Operating system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01060195,0.001687422,0.001622911,0.001595289,0.001860431,0.0071773,0.005405498,0.002365468,0.01905822],"category_scores_gemma":[0.0192542,0.002299192,0.002745352,0.001685041,0.002656149,0.01332718,0.0112374,0.006143229,0.008690323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884317,"about_ca_system_score_gemma":0.00310751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006928296,"about_ca_topic_score_gemma":0.00578051,"domain_scores_codex":[0.9919332,0.001783531,0.0006104682,0.001898413,0.002700441,0.001074036],"domain_scores_gemma":[0.9913878,0.00232301,0.0002666601,0.004621042,0.0008335151,0.0005679998],"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":[0.007473,0.0007474254,0.0107413,0.001550118,0.0006962241,0.0008816605,0.003968716,0.02413207,0.03410058,0.2296077,0.3929679,0.2931333],"study_design_scores_gemma":[0.001044857,0.0004160116,0.005863165,0.0006925758,0.0003645774,0.0005240675,0.0006383557,0.1609989,0.04411936,0.09437236,0.6904659,0.0004998069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.06059512,0.002530815,0.206628,0.002483073,0.001480847,0.0002602933,0.004558826,0.6720314,0.04943154],"genre_scores_gemma":[0.4577641,0.0010828,0.2648517,0.002759367,0.0006022732,0.000517083,0.02680837,0.1966878,0.04892654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01905822,"threshold_uncertainty_score":0.06375611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500948015503629,"score_gpt":0.2300490597058127,"score_spread":0.2150395795507765,"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."}}