{"id":"W2160006444","doi":"10.1503/cmaj.060768","title":"What makes medical graduates practise close to home?","year":2006,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Journal of Communication (Canada)","funders":"","keywords":"Nice; Data science; Computer science; Medicine; World Wide Web; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004882886,0.0003176311,0.0005172106,0.0008537105,0.006574269,0.004396334,0.001485869,0.02348806,0.01687258],"category_scores_gemma":[0.03395071,0.0004871951,0.0004371589,0.0007711969,0.004679786,0.007573993,0.002546363,0.01710266,0.007331449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006876899,"about_ca_system_score_gemma":0.01623834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02998711,"about_ca_topic_score_gemma":0.09194066,"domain_scores_codex":[0.994578,0.001612186,0.0002322098,0.0004601298,0.001699104,0.00141825],"domain_scores_gemma":[0.9721509,0.005056151,0.003071915,0.0004395835,0.003854945,0.01542656],"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":[0.00003584562,0.000145321,0.01393574,0.0002151701,0.00001040903,0.001501895,0.003577842,0.00002856883,0.0002191039,0.001943318,0.9314874,0.04689924],"study_design_scores_gemma":[0.00009978316,0.0003869356,0.05220449,0.002791791,0.00002804249,0.004495062,0.06520864,0.0001528137,0.0002220537,0.007023287,0.8672662,0.0001209008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002068027,0.001253026,0.00002980198,0.9889209,0.003386847,0.000005631356,0.00001467304,0.00001229108,0.004308764],"genre_scores_gemma":[0.03909915,0.004713716,0.0002398976,0.9374131,0.009104588,0.00004270644,0.00004037715,0.00003206215,0.009314329],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02998711,"threshold_uncertainty_score":0.05962509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023591969637822,"score_gpt":0.3779289591472702,"score_spread":0.3543369895094482,"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."}}