{"id":"W2992331264","doi":"","title":"Reinforcement Learning for a New Piano Mover","year":2005,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Piano; Reinforcement learning; Reinforcement; Psychology; Computer science; Artificial intelligence; Art; Social psychology; Art history","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":[0.0008332811,0.0004659105,0.0005208727,0.0002853604,0.0005078231,0.0005129146,0.001147108,0.0008813458,0.004961619],"category_scores_gemma":[0.001648525,0.0002075524,0.0003480462,0.0001369735,0.0009039682,0.0007509391,0.0007716991,0.000868225,0.0007106704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949084,"about_ca_system_score_gemma":0.0006417662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978604,"about_ca_topic_score_gemma":0.001568957,"domain_scores_codex":[0.9997451,0.00007312783,0.00001036366,0.00007076047,0.00006570182,0.00003496853],"domain_scores_gemma":[0.9996177,0.0001492161,0.00005877378,0.00004197698,0.00006985699,0.00006248125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003256608,0.000273973,0.001482707,0.0001817567,0.0000890818,0.0005182538,0.0002794423,0.7545999,0.01764687,0.07311928,0.00300586,0.1484774],"study_design_scores_gemma":[0.00004712964,0.000120738,0.0001169859,0.000006246841,0.000008412049,0.00004424268,0.0000101013,0.9915445,0.0009242685,0.005125072,0.00204408,0.000008180778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05744439,0.0002571853,0.9309433,0.0006485103,0.0001311939,0.0001324278,0.00002515401,0.0009001888,0.00951761],"genre_scores_gemma":[0.7765096,0.000136743,0.2112661,0.0001885566,0.00005804168,0.0001846505,0.00003439101,0.00005991742,0.01156205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004961619,"threshold_uncertainty_score":0.01659822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1987205421020521,"score_gpt":0.50318947588058,"score_spread":0.304468933778528,"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."}}