{"id":"W7004865994","doi":"","title":"A One-on-One with Dr. Chad Gaffield, President of SSHRC","year":2020,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council; Canadian Historical Association","funders":"","keywords":"Privilege (computing); Base (topology); Line (geometry)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006607141,0.000746919,0.0008516764,0.002177619,0.007959592,0.006481458,0.001679423,0.003428097,0.2656921],"category_scores_gemma":[0.02213561,0.0005084453,0.0004287125,0.001659237,0.002194823,0.004183829,0.004089411,0.008641326,0.1427128],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003907328,"about_ca_system_score_gemma":0.01012077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03979028,"about_ca_topic_score_gemma":0.1364514,"domain_scores_codex":[0.9964291,0.0006138355,0.0001604041,0.0004918756,0.001755197,0.0005497157],"domain_scores_gemma":[0.9706872,0.002387387,0.0007133665,0.00100884,0.01194706,0.0132561],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001317945,0.00001005588,0.0001823899,0.00001368481,0.000001631359,0.00006108906,0.0001521544,0.000003674131,0.00007241835,0.0003923711,0.9907171,0.008380215],"study_design_scores_gemma":[0.000003742672,0.000008815909,0.0005129509,0.00003013173,0.000001975182,0.0001078113,0.000767123,0.00001680075,0.00005724393,0.0001457727,0.9983377,0.000009827346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003473569,0.01157885,0.004581323,0.5837814,0.1456277,0.0007557908,0.002612475,0.002439913,0.245149],"genre_scores_gemma":[0.008169172,0.003171024,0.001576737,0.05827858,0.008641611,0.0001675687,0.0006457141,0.0007771633,0.9185724],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9960927,"threshold_uncertainty_score":0.8888288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03701817270849758,"score_gpt":0.2134166172716969,"score_spread":0.1763984445631994,"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."}}