{"id":"W2760817094","doi":"10.16995/dscn.275","title":"Radio Nouspace: Sound, Radio, Digital Humanities","year":2017,"lang":"fr","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sound (geography); Digital humanities; Computer science; Art; Acoustics; Humanities; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts","scholarly_communication"],"category_scores_codex":[0.0002302661,0.001092612,0.001212682,0.0001319986,0.003081648,0.03564814,0.002184296,0.0003193785,0.00002307135],"category_scores_gemma":[0.00129974,0.0009169165,0.0006489146,0.0002247113,0.002838006,0.02854029,0.002834054,0.0005556918,0.0007214019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004298137,"about_ca_system_score_gemma":0.0002884803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00056914,"about_ca_topic_score_gemma":0.0008315911,"domain_scores_codex":[0.9954804,0.00005525899,0.0008150997,0.001270685,0.0007578111,0.001620728],"domain_scores_gemma":[0.9956555,0.000335264,0.0007143118,0.001928562,0.0008249203,0.0005414452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001278277,0.001679668,0.003088593,0.000770621,0.002324426,0.003121256,0.6481161,0.0001264951,0.00005146422,0.1260768,0.1486703,0.06584641],"study_design_scores_gemma":[0.0018349,0.0008768557,0.002027807,0.0007781832,0.000002250907,0.00130997,0.1723754,0.0003660059,0.0003933515,0.1291813,0.6884702,0.002383814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2721999,0.05855079,0.006055452,0.02201925,0.008268402,0.0009667653,0.0007433241,0.0006051575,0.630591],"genre_scores_gemma":[0.8177919,0.00169941,0.0000263691,0.0004464908,0.001555676,0.00003786195,0.00004867218,0.00007462095,0.1783189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5455921,"threshold_uncertainty_score":0.9998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2499120121714932,"score_gpt":0.3234608244101198,"score_spread":0.07354881223862664,"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."}}