{"id":"W1826344903","doi":"10.7202/1029473ar","title":"Avant de tourner la page… Petite histoire des outils d’édition musicale avant l’ordinateur","year":2015,"lang":"fr","type":"article","venue":"Circuit Musiques contemporaines","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494751,0.0004620375,0.0002096825,0.001107769,0.003284731,0.004973014,0.0005231083,0.0008801634,0.02655576],"category_scores_gemma":[0.003846141,0.0001901247,0.0003647147,0.0006818137,0.004157006,0.002391407,0.001979342,0.002402175,0.004062219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509336,"about_ca_system_score_gemma":0.0009232531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774465,"about_ca_topic_score_gemma":0.008378968,"domain_scores_codex":[0.9989347,0.0003669837,0.00003330825,0.0001280779,0.000443722,0.00009319604],"domain_scores_gemma":[0.9986678,0.0006590225,0.00006090602,0.0002609593,0.0002387236,0.0001125036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003380014,0.00008073599,0.001970629,0.0007378492,0.0000311046,0.001189087,0.140635,0.000829598,0.0292457,0.4412179,0.06704423,0.3166801],"study_design_scores_gemma":[0.00000692352,0.00007157552,0.001743948,0.0002469531,0.000009013626,0.0005703677,0.01184577,0.0002571484,0.00712331,0.008211205,0.9698865,0.00002717815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1107945,0.008633369,0.1056548,0.01037528,0.01146332,0.0001990623,0.0003295323,0.0007745365,0.7517756],"genre_scores_gemma":[0.3703718,0.004247413,0.03368826,0.001051016,0.001906923,0.000132774,0.0001798585,0.001125736,0.5872962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02655576,"threshold_uncertainty_score":0.0888378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09196035708963271,"score_gpt":0.2553372748609763,"score_spread":0.1633769177713436,"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."}}