{"id":"W4402396828","doi":"10.24908/iqurcp18025","title":"Barriers to Healthcare Access for Black Communities in Kingston and London, Ontario","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Health care; Library science; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001927103,0.0002286176,0.0004159212,0.0009347328,0.01814782,0.002967533,0.001169115,0.0007073552,0.004720618],"category_scores_gemma":[0.004290493,0.0003470423,0.0002656694,0.001805451,0.004013111,0.0008806981,0.003512226,0.0007349958,0.0002345015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06777708,"about_ca_system_score_gemma":0.1331659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881833,"about_ca_topic_score_gemma":0.9970633,"domain_scores_codex":[0.9980708,0.0004513157,0.00008533677,0.0001359476,0.0004019146,0.0008548164],"domain_scores_gemma":[0.9945403,0.001134892,0.000797597,0.0001189348,0.001163879,0.002244494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001947165,0.00009212256,0.2017554,0.0006218929,0.00003738959,0.002314485,0.7425689,0.0001755088,0.001591778,0.004431268,0.009074582,0.03714202],"study_design_scores_gemma":[0.00001314998,0.00005065984,0.2259167,0.0005467648,0.00002130451,0.0002682653,0.7387938,0.0001374389,0.0001878484,0.0004654723,0.03354948,0.00004912644],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792671,0.001267409,0.0001374137,0.007231133,0.00003399508,0.00008802084,0.0002613491,0.00001183375,0.01170169],"genre_scores_gemma":[0.990783,0.001165577,0.0003953226,0.001393373,0.000007523585,0.00006958859,0.00008621939,0.00001347542,0.00608586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06777708,"threshold_uncertainty_score":0.4917595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2459340143768396,"score_gpt":0.5203338639411812,"score_spread":0.2743998495643416,"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."}}