{"id":"W2245838439","doi":"10.1353/ces.2015.0033","title":"Healing Histories: Stories from Canada’s Indian Hospitals by Laurie Meijer Drees (review)","year":2015,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Demography; Gerontology; Geography; Medicine; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004007337,0.0002407081,0.0005051074,0.00009658906,0.000432827,0.00001082109,0.0003070166,0.00004415067,0.0006494219],"category_scores_gemma":[0.0006371096,0.0002066358,0.00004826764,0.00008607034,0.0008884409,0.0001725177,0.00002882025,0.0001876825,0.00004607841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298948,"about_ca_system_score_gemma":0.003904203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920607,"about_ca_topic_score_gemma":0.9997926,"domain_scores_codex":[0.998275,0.00004604742,0.0003258791,0.0003298564,0.0004679616,0.0005553031],"domain_scores_gemma":[0.9982646,0.0001012563,0.0001119985,0.0002847474,0.0003787904,0.0008586808],"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":[0.000001332729,0.000002778343,0.00005093952,0.00005331202,0.00006299043,0.00004041802,0.1187643,2.251571e-7,0.000001362468,0.0006298366,0.8715495,0.008843002],"study_design_scores_gemma":[0.0001563972,0.00005623611,0.0003435869,0.00028798,0.00005155613,9.532139e-7,0.09749442,1.884533e-7,0.000006466738,0.0001835911,0.9011669,0.000251754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007927286,0.9426445,3.117083e-7,0.01907236,0.005630174,0.000238231,0.0004379001,0.00004453864,0.02400469],"genre_scores_gemma":[0.6210454,0.1400751,0.0000900759,0.08894882,0.005911026,0.000260838,0.0004349981,0.0001348966,0.1430988],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8025694,"threshold_uncertainty_score":0.8426363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472783275510232,"score_gpt":0.3197277825935144,"score_spread":0.1724494550424912,"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."}}