{"id":"W2604997372","doi":"","title":"Care of the elderly training","year":2009,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Economic shortage; Geriatrics; MEDLINE; Nursing; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124717,0.00004967106,0.00008768692,0.00004145597,0.0004118049,0.00002221182,0.0004612173,0.00004459014,0.000004188715],"category_scores_gemma":[0.00001604827,0.00004354897,0.00006172246,0.0002885541,0.0002108622,0.00006499147,0.000006451934,0.00009022261,0.000009634707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368452,"about_ca_system_score_gemma":0.000800239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04480892,"about_ca_topic_score_gemma":0.1057631,"domain_scores_codex":[0.999252,0.0000444268,0.00005909236,0.00008591337,0.000303401,0.000255165],"domain_scores_gemma":[0.999554,0.0000128554,0.00002955964,0.0001380816,0.00007795322,0.0001875508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001837328,0.000007686282,0.0002537998,0.000005080387,0.00001111367,0.000007632008,0.0752058,0.00000928916,0.0003018832,0.05270846,0.02746396,0.8440235],"study_design_scores_gemma":[0.0001404866,0.00007617831,0.01757701,0.00005605495,0.00002176279,2.629858e-8,0.4600294,8.857135e-7,0.00005445492,0.002024429,0.5199202,0.00009902749],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1736205,0.0002804812,0.000001606398,0.002711087,0.0003328638,0.00009130864,0.00001916138,0.00001209933,0.8229309],"genre_scores_gemma":[0.9561937,0.000006048994,0.00001110111,0.04320987,0.0002141784,4.513715e-7,0.000002472177,0.000002316268,0.0003598976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8439244,"threshold_uncertainty_score":0.9615518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02959971742824662,"score_gpt":0.2474766431983878,"score_spread":0.2178769257701412,"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."}}