{"id":"W4385862020","doi":"10.59962/9780774851275-001","title":"Acknowledgments","year":2007,"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":"","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004829398,0.0008641762,0.001071482,0.001794681,0.002246407,0.003334983,0.002282891,0.00131929,0.3965166],"category_scores_gemma":[0.01962314,0.0003183274,0.0006669505,0.001717175,0.0006996228,0.002165248,0.003692487,0.002676939,0.2495496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003135219,"about_ca_system_score_gemma":0.006374796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008119945,"about_ca_topic_score_gemma":0.0140154,"domain_scores_codex":[0.9954197,0.0008621353,0.0002394619,0.0007592248,0.002369753,0.0003497523],"domain_scores_gemma":[0.9844719,0.001216143,0.0003560001,0.001023102,0.01035552,0.002577403],"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":[0.00007443563,0.00001897747,0.0006719945,0.0002101738,0.000007076851,0.0001492756,0.0004225167,0.00008812833,0.0005697171,0.006519747,0.9533001,0.03796786],"study_design_scores_gemma":[0.00001125874,0.000009924514,0.0005080362,0.0001672786,0.000006831493,0.0001606155,0.0003578226,0.00005550616,0.0002198175,0.00162132,0.9968734,0.00000816668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007907237,0.008435641,0.02905637,0.1058538,0.08125798,0.002329303,0.1096421,0.006514979,0.6490026],"genre_scores_gemma":[0.03271611,0.004873055,0.02803736,0.02706064,0.005208052,0.001777387,0.05547263,0.004866386,0.8399883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6034834,"threshold_uncertainty_score":0.8607959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358407951329422,"score_gpt":0.1991493668659851,"score_spread":0.1755652873526908,"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."}}