{"id":"W7077479196","doi":"10.26443/mje/rsem.v59i1.10270","title":"Larry Saves the Canadian Healthcare System: Research-based musical satire goes digital","year":2025,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musical; Health care; Pandemic; Healthcare system; Coronavirus disease 2019 (COVID-19); Health professionals","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":[0.005786328,0.0008703964,0.0003998238,0.00164918,0.01973763,0.01403228,0.00149461,0.004269485,0.0475762],"category_scores_gemma":[0.011768,0.000372973,0.000503885,0.001650613,0.01085151,0.003551559,0.005496008,0.008298581,0.006576154],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05312157,"about_ca_system_score_gemma":0.06244392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8084708,"about_ca_topic_score_gemma":0.9239166,"domain_scores_codex":[0.994695,0.000838551,0.00007538507,0.0002921419,0.002755044,0.001343917],"domain_scores_gemma":[0.9933576,0.001096014,0.0001330987,0.0003812285,0.002744777,0.00228723],"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":[0.00002654378,0.000007067018,0.0001578743,0.00005015395,0.00000413673,0.0001020603,0.005304029,0.00005625054,0.0004061176,0.029441,0.9484396,0.01600525],"study_design_scores_gemma":[0.000004514757,0.000007714573,0.000351277,0.00006926133,0.000002750902,0.00003139219,0.005311747,0.0000338849,0.0001128543,0.0008134742,0.9932458,0.00001544401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005265588,0.006617975,0.001969994,0.4887645,0.03312937,0.0001121004,0.0006264459,0.0005272356,0.4629868],"genre_scores_gemma":[0.1925197,0.01237564,0.004260039,0.0945091,0.00992484,0.0001146188,0.0005249059,0.0008794543,0.6848918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9468784,"threshold_uncertainty_score":0.3854258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604955477182437,"score_gpt":0.205350244957982,"score_spread":0.1793006901861576,"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."}}