{"id":"W6966885102","doi":"10.4224/23001608","title":"Canadian Science and Engineering Hall of Fame: finding aid","year":2017,"lang":"en","type":"article","venue":"NPARC","topic":"Diverse Education and Engineering Focus","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Field (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002519912,0.00136728,0.001101547,0.003088669,0.007257152,0.006143423,0.001736704,0.003171119,0.2545784],"category_scores_gemma":[0.008705885,0.0006764805,0.0005556419,0.00252528,0.002718909,0.003692108,0.004370152,0.004044463,0.09389072],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009143587,"about_ca_system_score_gemma":0.01591862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3891152,"about_ca_topic_score_gemma":0.6376216,"domain_scores_codex":[0.9976795,0.0002771279,0.00006462497,0.0002887616,0.001345128,0.0003449391],"domain_scores_gemma":[0.9932806,0.0007207422,0.0001449509,0.000233271,0.003863029,0.001757472],"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":[0.00001054849,0.000002883027,0.00004928666,0.00002614903,0.000001147289,0.00004072967,0.0001011419,0.00001718566,0.00005628451,0.001416659,0.9849023,0.01337573],"study_design_scores_gemma":[0.000001750986,0.000002193843,0.0001042794,0.000041405,8.240086e-7,0.0000434263,0.0003179584,0.00001681015,0.00003787052,0.0002889279,0.9991381,0.000006266183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001193896,0.07770458,0.004471635,0.41341,0.1063468,0.0001943935,0.003629799,0.002087577,0.3909613],"genre_scores_gemma":[0.005284331,0.01572256,0.001906185,0.01526405,0.002821307,0.00004163875,0.0005383228,0.0005552698,0.9578663],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9927428,"threshold_uncertainty_score":0.8516495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316793622098066,"score_gpt":0.2795023625605412,"score_spread":0.2563344263395605,"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."}}