{"id":"W4407719910","doi":"10.46747/cfp.7102141","title":"Leading with a disability","year":2025,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001060121,0.0004909662,0.0003344861,0.0007150348,0.01811694,0.004225393,0.0008781599,0.00317571,0.1979561],"category_scores_gemma":[0.005847235,0.0002332873,0.0005021004,0.0006117964,0.002450819,0.003786839,0.004932049,0.007460527,0.06072805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006267665,"about_ca_system_score_gemma":0.02045826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3510984,"about_ca_topic_score_gemma":0.6228328,"domain_scores_codex":[0.9981401,0.0002156904,0.00003162752,0.0001194045,0.00055802,0.000935105],"domain_scores_gemma":[0.9940976,0.0001429282,0.0001026213,0.00009217233,0.001588165,0.003976445],"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":[0.000001629977,0.000006059347,0.0003296714,0.000008963559,7.821805e-7,0.00009396978,0.000780991,0.000003895247,0.00002153275,0.002329332,0.9881347,0.008288467],"study_design_scores_gemma":[0.000002368337,0.000004853778,0.0007857127,0.0001161759,0.00000144496,0.0002805184,0.004127259,0.000005597265,0.00001801577,0.0006666315,0.9939823,0.000009107068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002379038,0.001577426,0.0006207417,0.3624755,0.01885068,0.00007290576,0.0007440601,0.0004208663,0.6128588],"genre_scores_gemma":[0.04244366,0.003780685,0.001199259,0.2683294,0.003212048,0.0001082508,0.0007082512,0.0004698844,0.6797485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3510984,"threshold_uncertainty_score":0.6981095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04464637170607342,"score_gpt":0.3347810208717023,"score_spread":0.2901346491656289,"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."}}