{"id":"W1656834978","doi":"","title":"Learners and locations: Use of administrative data and GIS technology to map birthplace, residence during high school years, and permanent residence of presently enrolled medical students at Memorial University","year":2013,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Residence; Geography; Gerontology; Medicine; Medical education; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001919377,0.000210502,0.0002340548,0.003980286,0.0004317148,0.001432194,0.0004663713,0.0001688402,0.001540375],"category_scores_gemma":[0.006289696,0.0002402804,0.0002373805,0.002560779,0.0002014773,0.0005159918,0.001153907,0.0003096307,0.0003547727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235395,"about_ca_system_score_gemma":0.002241589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1532362,"about_ca_topic_score_gemma":0.2676774,"domain_scores_codex":[0.9991848,0.0002879149,0.00009991502,0.0001769745,0.0001624942,0.00008790367],"domain_scores_gemma":[0.9961463,0.001518658,0.000973841,0.0004279461,0.0005026998,0.0004305106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001469519,0.0001921587,0.9028521,0.00006946662,0.00007018682,0.0001138719,0.003185481,0.001363385,0.00084376,0.0001977309,0.003195317,0.08776969],"study_design_scores_gemma":[0.00003193269,0.0001957473,0.9634189,0.00007373147,0.00008297841,0.0001331859,0.0108949,0.01569507,0.001851531,0.0001662679,0.007404343,0.00005135303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834659,0.0000693722,0.002968944,0.0002322609,0.00000576402,0.000211769,0.01037215,0.0003899451,0.002283948],"genre_scores_gemma":[0.9647778,0.0001309101,0.02797967,0.00003230472,0.00000812685,0.0002251993,0.005848367,0.00003134759,0.0009661695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8467638,"threshold_uncertainty_score":0.3046886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056978868237518,"score_gpt":0.3534384039418406,"score_spread":0.3228686152594654,"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."}}