{"id":"W7034038411","doi":"","title":"Shrinking Communities Handbook A guide to developing strategies for shrinking communities in Canada","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resizing; Work (physics); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00333023,0.0008323293,0.000532157,0.006237824,0.01778139,0.008193081,0.00321171,0.002876095,0.07173014],"category_scores_gemma":[0.007162725,0.000816456,0.0005364472,0.0108432,0.003319598,0.003596971,0.003236751,0.003972462,0.009412131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1028479,"about_ca_system_score_gemma":0.4290835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859846,"about_ca_topic_score_gemma":0.9951919,"domain_scores_codex":[0.9968651,0.0003343073,0.0001276322,0.0001243689,0.001674162,0.0008743933],"domain_scores_gemma":[0.9913768,0.0006469213,0.0001576272,0.0001055945,0.005085099,0.002627954],"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":[0.000006390623,0.00006200107,0.0008887569,0.0001979366,0.000002751649,0.0002116401,0.004250901,0.000331563,0.0001237606,0.01802218,0.882382,0.09352025],"study_design_scores_gemma":[0.00000536378,0.000009128013,0.002179565,0.0003608816,0.000003474669,0.0000466556,0.006613336,0.00008659798,0.0000608527,0.001552453,0.9890528,0.00002884295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00774262,0.03911103,0.01136576,0.1464141,0.005727338,0.002566489,0.00993637,0.001923289,0.775213],"genre_scores_gemma":[0.0386119,0.05364408,0.03439451,0.01700394,0.0003750344,0.00133625,0.003217731,0.0007197605,0.8506968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1028479,"threshold_uncertainty_score":0.746217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642424408461122,"score_gpt":0.3251479005810665,"score_spread":0.2787236564964553,"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."}}