{"id":"W611421009","doi":"","title":"A blueprint for defining health : making medical genetics in Canada, c. 1935-1975","year":2000,"lang":"en","type":"book","venue":"Library and Archives Canada (Government of Canada)","topic":"Historical Medical Research and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Blueprint; Medical genetics; Medicine; Genetics; Genealogy; Engineering; Biology; History; Mechanical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003475121,0.0003347173,0.0008481742,0.00005947252,0.0001313976,0.00000814086,0.0002546677,0.00009881639,0.0002750765],"category_scores_gemma":[0.00004849594,0.000307222,0.00006089558,0.00007042454,0.0001001465,0.0000436857,0.0001333245,0.0006063379,9.509179e-9],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863395,"about_ca_system_score_gemma":0.1303798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5072231,"about_ca_topic_score_gemma":0.9770469,"domain_scores_codex":[0.9934258,0.00006595615,0.0006809167,0.0004644298,0.004607663,0.0007551712],"domain_scores_gemma":[0.9971611,0.0008087657,0.0002041754,0.0002823899,0.000001233245,0.001542332],"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":[0.004848822,0.0002975483,0.03236179,0.005938297,0.000926188,0.008168915,0.0002076028,0.00004432618,0.00002960358,0.04617113,0.1563044,0.7447014],"study_design_scores_gemma":[0.002451645,0.0005304971,0.01159695,0.003399711,0.00006245485,0.00004950848,0.0002299599,0.001631411,0.0001621677,0.001210489,0.9782377,0.0004374995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003086461,0.007818815,0.00005471246,0.01641283,0.0003635978,0.001300788,0.001222441,0.00001291385,0.9697275],"genre_scores_gemma":[0.3924087,0.007262575,0.003913443,0.02390776,0.0004884812,0.0001697877,0.0004101837,0.0002191243,0.57122],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8219333,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008967991437511005,"score_gpt":0.2119227885289249,"score_spread":0.2029547970914139,"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."}}