{"id":"W4393835199","doi":"10.5281/zenodo.10296525","title":"Street piano","year":2015,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Piano; Art; Geography; Art history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002914048,0.002101449,0.001118136,0.002053923,0.00134239,0.002668734,0.001316065,0.001101854,0.2273967],"category_scores_gemma":[0.001878678,0.0006572881,0.000723508,0.004107108,0.0002557661,0.001724269,0.002089762,0.001343139,0.4117306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540065,"about_ca_system_score_gemma":0.001989171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08266691,"about_ca_topic_score_gemma":0.2937445,"domain_scores_codex":[0.9995555,0.00003805139,0.00002039726,0.000147318,0.000129398,0.0001092887],"domain_scores_gemma":[0.9993654,0.00005226917,0.0000358158,0.0001762911,0.0002157149,0.0001544397],"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":[0.00001556099,0.000003671155,0.0002014931,0.00005400812,0.000001912878,0.00000719118,0.000008911064,0.00002790635,0.00002712575,0.0001455137,0.9972115,0.002295215],"study_design_scores_gemma":[0.00001684526,0.000003571541,0.001702486,0.0000643736,0.000003326272,0.00002222824,0.00006553198,0.0001215362,0.0001199961,0.0002901707,0.997583,0.000006879816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006838418,0.0004210689,0.0003042585,0.00021874,0.0001733433,0.00003615867,0.9641395,0.002943516,0.03107968],"genre_scores_gemma":[0.001521022,0.0003043821,0.000577375,0.00009557468,0.00002967213,0.00004454179,0.9734679,0.0006651176,0.02329441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2273967,"threshold_uncertainty_score":0.7607177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517248671674388,"score_gpt":0.2558762385138761,"score_spread":0.2107037517971322,"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."}}