{"id":"W4385601292","doi":"10.59962/9780774830539-002","title":"Acknowledgments","year":2016,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence","funders":"Ministère de la Défense Nationale; Wilfrid Laurier University","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003452011,0.0005346473,0.0005481769,0.001579623,0.00260883,0.003220927,0.001314741,0.0007311643,0.3282091],"category_scores_gemma":[0.01397728,0.0002417829,0.0003094451,0.001335119,0.0006208985,0.001728193,0.002556549,0.002028125,0.1524381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004866614,"about_ca_system_score_gemma":0.007233335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03711905,"about_ca_topic_score_gemma":0.0704464,"domain_scores_codex":[0.9976388,0.0005186645,0.00008994924,0.0002793734,0.001278643,0.0001946088],"domain_scores_gemma":[0.9825727,0.001318605,0.0002977543,0.0006620919,0.01219725,0.002951619],"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":[0.00001558607,0.000005174049,0.0001630848,0.00003325681,0.000001246465,0.00003808392,0.0003418534,0.00002521063,0.0001228295,0.005328837,0.979827,0.01409775],"study_design_scores_gemma":[0.000003120042,0.00000191248,0.0002386593,0.00004615882,0.000001312533,0.00003516728,0.0003488566,0.00001739725,0.00003986674,0.0005413081,0.9987236,0.000002630229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004282467,0.004499395,0.01007291,0.1352054,0.0799583,0.0008496571,0.03944781,0.00207243,0.7236116],"genre_scores_gemma":[0.01265383,0.001157292,0.004723249,0.01257604,0.002785892,0.0003053626,0.006040552,0.0008944626,0.9588633],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6717908,"threshold_uncertainty_score":0.9582281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473344499136228,"score_gpt":0.1798754198110866,"score_spread":0.1651419748197243,"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."}}