{"id":"W4385599874","doi":"10.59962/9780774835992-003","title":"Acknowledgments","year":2017,"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":"Strong","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003898714,0.001167253,0.0009679247,0.001597784,0.003458266,0.006446933,0.002947517,0.002800844,0.4336773],"category_scores_gemma":[0.01660235,0.0004010373,0.0007220656,0.001452783,0.0009633981,0.003496713,0.005579272,0.003469907,0.2988666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004073285,"about_ca_system_score_gemma":0.01021871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007842187,"about_ca_topic_score_gemma":0.01325564,"domain_scores_codex":[0.9950512,0.0008241789,0.0002658708,0.001025366,0.002238463,0.0005949883],"domain_scores_gemma":[0.9888852,0.0007716121,0.000338193,0.001075594,0.006511236,0.002418241],"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":[0.00007752357,0.00002486916,0.0007071875,0.0002559086,0.00001049054,0.0002465948,0.0005654109,0.00005495231,0.0003763042,0.01163466,0.9249741,0.06107196],"study_design_scores_gemma":[0.000006347138,0.000007963638,0.000238368,0.0001242049,0.000004227004,0.0001693514,0.0002735226,0.00002908622,0.0001062303,0.001345076,0.997689,0.000006647539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004310963,0.008993911,0.01222252,0.08695819,0.07081065,0.0008985573,0.02807278,0.004633635,0.7830988],"genre_scores_gemma":[0.0278444,0.005540778,0.01262537,0.02868559,0.005568908,0.0007309646,0.02027408,0.002632833,0.896097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4336773,"threshold_uncertainty_score":0.8077906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986826893889823,"score_gpt":0.1942789008216726,"score_spread":0.1744106318827743,"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."}}