{"id":"W4301196658","doi":"10.3138/9781442695924-fm","title":"Frontmatter","year":2015,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Western University; University of Toronto; Wilfrid Laurier University; University of Saskatchewan; University of Alberta; Université de Montréal; University of Waterloo; Carleton University; McMaster University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001677076,0.0006747433,0.0004486204,0.001531201,0.004021657,0.003592385,0.0009545156,0.001341748,0.7270707],"category_scores_gemma":[0.0007012064,0.0003193543,0.0002679949,0.001748407,0.0006912641,0.002066089,0.001746542,0.001247609,0.4546034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005820349,"about_ca_system_score_gemma":0.003684051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1813053,"about_ca_topic_score_gemma":0.5159811,"domain_scores_codex":[0.9997235,0.00001076304,0.000005120763,0.00004616556,0.0001530273,0.00006138253],"domain_scores_gemma":[0.9996847,0.00002198222,0.000007032783,0.00002718672,0.0001737616,0.00008539671],"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":[0.000009100065,0.000008047431,0.00008083201,0.00005040795,8.042578e-7,0.0000495282,0.0001727804,0.0000256449,0.0001545161,0.01436622,0.9213603,0.0637218],"study_design_scores_gemma":[7.795085e-7,0.000001060056,0.00009117604,0.00001665039,2.798385e-7,0.00001706356,0.00003761844,0.00000915704,0.00002314616,0.0003148883,0.9994869,0.00000120563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002428082,0.001303843,0.000238946,0.0009165596,0.0008465206,0.00002187659,0.00076327,0.0003192567,0.9953471],"genre_scores_gemma":[0.0006621632,0.0002665288,0.00005513319,0.0001891683,0.00003905981,0.000003178005,0.0001465244,0.00006108499,0.9985771],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2729293,"threshold_uncertainty_score":0.3893004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958529859710226,"score_gpt":0.2083867162403494,"score_spread":0.1788014176432472,"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."}}