{"id":"W3186340350","doi":"10.21428/92fbeb44.1eeb3ada","title":"Music Computing and Computational Thinking: A Case Study","year":2021,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Computational thinking; Computer science; Variety (cybernetics); Mechatronics; Multimedia; Human–computer interaction; Virtual reality; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006996006,0.0000883243,0.00008953799,0.0000336979,0.00007596203,0.00005704148,0.00003033741,0.00002038779,0.00005641086],"category_scores_gemma":[0.000009750919,0.00009834113,0.0000140456,0.0001080519,0.000008683523,0.00005377606,0.00006290766,0.0001203752,0.000007726142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002651099,"about_ca_system_score_gemma":0.000005446186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000169358,"about_ca_topic_score_gemma":0.00001234548,"domain_scores_codex":[0.9995386,0.00001427651,0.0001118787,0.0001232974,0.00009798198,0.0001139617],"domain_scores_gemma":[0.9997836,0.00007216683,0.000006429274,0.00007624283,0.00001929516,0.00004229993],"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":[2.873723e-7,0.00003768,0.004054155,0.0000226662,0.00004630624,0.003249464,0.005848779,0.9839057,0.0009138343,0.0004659273,0.00008466881,0.001370513],"study_design_scores_gemma":[0.0003723304,0.00002524613,0.002085729,0.000014613,0.00000823682,0.004669263,0.01125112,0.9806556,0.0004971534,0.00005734896,0.0001876061,0.0001757822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598866,0.0002515246,0.03624887,0.000007139065,0.0001593812,0.00006560963,3.506731e-7,0.0004671855,0.002913393],"genre_scores_gemma":[0.9690558,6.224698e-7,0.03080802,0.00002873349,0.00003942615,0.000001980818,0.000002560705,0.00002239832,0.00004040626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00916931,"threshold_uncertainty_score":0.4010235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298551015603387,"score_gpt":0.2472749390730465,"score_spread":0.2342894289170127,"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."}}