{"id":"W4377819747","doi":"10.26685/urncst.496","title":"2022-2023 IgNITE Medical Case Competition: CardioRespiratory Medicine","year":2023,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; McMaster University; University of Toronto","funders":"Innovative Medicines Canada","keywords":"Competition (biology); Competitor analysis; Theme (computing); Public relations; Medical education; Cardiorespiratory fitness; Reading (process); Disadvantaged; Political science; Psychology; Marketing; Business; Medicine; Computer science; Physical therapy","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002908955,0.001232433,0.0006558832,0.00147935,0.0028274,0.005762978,0.002130278,0.005444723,0.3648981],"category_scores_gemma":[0.005290811,0.0004822327,0.0008852978,0.0005382672,0.001283107,0.001792368,0.005618606,0.004998512,0.1939323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002734936,"about_ca_system_score_gemma":0.003606337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002367863,"about_ca_topic_score_gemma":0.01117137,"domain_scores_codex":[0.9978461,0.0002473921,0.00008500797,0.0002620513,0.001016125,0.0005432699],"domain_scores_gemma":[0.9892994,0.0004000406,0.0002075885,0.0002375984,0.002112461,0.007742996],"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":[0.00003684407,0.00008811308,0.0002743543,0.00003422915,0.000002793301,0.0003398355,0.00002574028,0.00003608595,0.0003244315,0.0007884566,0.9817679,0.01628121],"study_design_scores_gemma":[0.00002780635,0.00009885837,0.001272829,0.0001015929,0.000002490158,0.001221201,0.0001375853,0.0001942362,0.0002166733,0.0007882966,0.9959242,0.00001417519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009502962,0.005342628,0.005591727,0.09574319,0.1446111,0.001176008,0.001745377,0.002915808,0.7333712],"genre_scores_gemma":[0.01997799,0.001979452,0.002327383,0.01502588,0.02617673,0.0003825065,0.001543071,0.0008367819,0.9317501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3648981,"threshold_uncertainty_score":0.9058958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05331136291059151,"score_gpt":0.3965615029364775,"score_spread":0.343250140025886,"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."}}