{"id":"W4400288866","doi":"10.1121/10.0027111","title":"Teaching the basics of acoustics using smartphones","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Acoustics; Human–computer interaction; Physics","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":[0.0004020529,0.0008445398,0.0003163913,0.0003881923,0.0004181869,0.001243604,0.0006100086,0.0009025498,0.01711811],"category_scores_gemma":[0.001422429,0.0002306663,0.0004521412,0.0002020734,0.0007526338,0.001562923,0.001574851,0.001367607,0.008581128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133977,"about_ca_system_score_gemma":0.0006601461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003207242,"about_ca_topic_score_gemma":0.0006417839,"domain_scores_codex":[0.9996473,0.00005510539,0.00002332684,0.00006473581,0.0001569676,0.00005254899],"domain_scores_gemma":[0.999549,0.000168083,0.0000293127,0.00007172192,0.00008180478,0.0001000667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001684446,0.000725951,0.002409481,0.001569034,0.00002338567,0.0006059209,0.003683352,0.003020087,0.1692729,0.0652938,0.02600663,0.727221],"study_design_scores_gemma":[0.00006307287,0.001220827,0.006492656,0.001149699,0.00003923992,0.002521555,0.002226155,0.009937671,0.07000142,0.0674675,0.8387807,0.00009944506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09619515,0.007096839,0.6957504,0.009501068,0.002103758,0.0009264258,0.0004654879,0.005409125,0.1825517],"genre_scores_gemma":[0.4023516,0.01710051,0.4523599,0.002794493,0.001846892,0.0008143856,0.0005188941,0.0004413808,0.1217719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01711811,"threshold_uncertainty_score":0.05726582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567863965721838,"score_gpt":0.2839593493179778,"score_spread":0.2682807096607594,"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."}}