{"id":"W4321613891","doi":"10.3138/9781487546052-016","title":"11 Epilogue: The Canadian State Trials Series in Retrospect","year":2022,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); State (computer science); History; Computer science; Geology; Algorithm; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02648555,0.002394017,0.002349668,0.007722585,0.004409626,0.008944136,0.00473252,0.0106188,0.0896351],"category_scores_gemma":[0.1201135,0.001487103,0.002012348,0.01216667,0.003373326,0.003025951,0.002429862,0.01087504,0.0248673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04132453,"about_ca_system_score_gemma":0.1217837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7726346,"about_ca_topic_score_gemma":0.8644952,"domain_scores_codex":[0.9834102,0.003546507,0.00146895,0.0008747272,0.008819532,0.001880088],"domain_scores_gemma":[0.8935319,0.03279173,0.003829435,0.004829947,0.05663637,0.008380657],"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":[0.00001772277,0.000001551609,0.00001602452,0.00009673439,0.000002514309,0.00000463583,0.000008235778,0.000008292927,0.000003200885,0.000415277,0.9976959,0.001729909],"study_design_scores_gemma":[0.00005919364,0.00001216729,0.0006729527,0.0005477447,0.00002680584,0.00001508359,0.00003868753,0.00002339318,0.00002898471,0.000486366,0.9980726,0.00001608629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003028857,0.07364199,0.001040585,0.3587291,0.3899774,0.001947367,0.04454074,0.0007328974,0.129087],"genre_scores_gemma":[0.007620766,0.05553502,0.002000219,0.3332256,0.1369564,0.004395357,0.01199936,0.0009357416,0.4473315],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2273654,"threshold_uncertainty_score":0.4574088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03681469378845679,"score_gpt":0.2198150087997863,"score_spread":0.1830003150113295,"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."}}