{"id":"W2801562745","doi":"","title":"Teaching acoustics to psychology and neuroscience students","year":2017,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Relation (database); Psychology; Octave (electronics); Music psychology; Musical acoustics; Perspective (graphical); Implementation; Computational neuroscience; Cognitive science; Computer science; Acoustics; Musicology; Artificial intelligence; Pedagogy; Musical; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002824816,0.001363453,0.0007117732,0.001361672,0.004740673,0.005986402,0.001842737,0.00293647,0.03210383],"category_scores_gemma":[0.0112586,0.000569203,0.000707255,0.0008323086,0.004648555,0.004031118,0.006381469,0.006164646,0.01595362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007273068,"about_ca_system_score_gemma":0.01175746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008229199,"about_ca_topic_score_gemma":0.01779334,"domain_scores_codex":[0.9973828,0.0005000446,0.0001092198,0.0005453778,0.0009497014,0.0005127331],"domain_scores_gemma":[0.9870901,0.0007335047,0.0005878061,0.0004258057,0.002224409,0.008938488],"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":[0.0001876464,0.001757736,0.009634628,0.000654449,0.0000432858,0.001433596,0.03470143,0.001324088,0.01619889,0.07554772,0.4927039,0.3658125],"study_design_scores_gemma":[0.00002866979,0.0002301648,0.003826316,0.0003847381,0.00001893346,0.001150042,0.01454782,0.0006478054,0.002264762,0.03849806,0.9383367,0.00006599742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.08959223,0.0170205,0.1304605,0.3351,0.03754399,0.001173215,0.0006661281,0.004228811,0.3842147],"genre_scores_gemma":[0.3663611,0.01990808,0.1182574,0.09501281,0.007684533,0.001367442,0.0005782007,0.0009410999,0.3898894],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03210383,"threshold_uncertainty_score":0.107398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0660246618367781,"score_gpt":0.3718931530633585,"score_spread":0.3058684912265804,"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."}}