{"id":"W4312988291","doi":"10.7202/1090749ar","title":"Canadian Historical Association’s Wallace K. Ferguson Roundtable","year":2022,"lang":"en","type":"article","venue":"Journal of the Canadian Historical Association","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Historical Association; University of British Columbia","funders":"","keywords":"Association (psychology); Humanities; History; Library science; Philosophy; Computer science; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003613861,0.000921885,0.000926038,0.003249874,0.009735897,0.00947463,0.001936291,0.004334657,0.1109367],"category_scores_gemma":[0.01237636,0.000737806,0.0006044023,0.005202214,0.00207393,0.003083313,0.002143426,0.00623485,0.03486842],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03123872,"about_ca_system_score_gemma":0.09899204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8678157,"about_ca_topic_score_gemma":0.9496369,"domain_scores_codex":[0.9946811,0.0002667602,0.0001966068,0.0004421217,0.003790604,0.0006228809],"domain_scores_gemma":[0.9734673,0.0009885452,0.0003828047,0.0005897064,0.02199946,0.002572143],"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":[0.000002497038,0.000001095599,0.00002378778,0.00001989498,6.181357e-7,0.00000566988,0.00001359084,0.000004860614,0.000008451722,0.0005727294,0.9959254,0.003421515],"study_design_scores_gemma":[8.76217e-7,5.115864e-7,0.0001852339,0.00006956401,0.00000100537,0.00000528087,0.00004573061,0.000003888007,0.000009480244,0.00007178925,0.9996024,0.000004301571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.000496356,0.07358784,0.0005753363,0.3386717,0.2853062,0.000227804,0.005392364,0.0003234632,0.295419],"genre_scores_gemma":[0.007764711,0.04595247,0.001318447,0.04173577,0.01983229,0.0001398052,0.002068685,0.0003564089,0.8808314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9687613,"threshold_uncertainty_score":0.3711204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172083335984983,"score_gpt":0.1801191058184251,"score_spread":0.1629107722199268,"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."}}