{"id":"W4384196696","doi":"10.1515/9780773597389-002","title":"Acknowledgments","year":2015,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Trent University; Federation for the Humanities and Social Sciences; U.S. Department of Veterans Affairs","keywords":"Business","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":[0.003512196,0.0008107036,0.000692287,0.003027999,0.006382355,0.004520258,0.001426855,0.0009652587,0.3776504],"category_scores_gemma":[0.009704713,0.0004480528,0.0004925679,0.003597983,0.001203456,0.00116466,0.002823115,0.001326327,0.1006576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03921494,"about_ca_system_score_gemma":0.08510872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8841929,"about_ca_topic_score_gemma":0.9511065,"domain_scores_codex":[0.9961215,0.0004401477,0.0001234933,0.0004721168,0.002139195,0.0007034878],"domain_scores_gemma":[0.9866588,0.0006949336,0.000284122,0.0005607958,0.009572284,0.002229067],"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":[0.0000361243,0.000007131643,0.000975366,0.00006836953,0.00000316501,0.00006759194,0.000707525,0.00005059256,0.0001149025,0.009355511,0.9703565,0.01825722],"study_design_scores_gemma":[0.000004207517,0.000001800125,0.001114954,0.00003638395,0.000002595159,0.00001755987,0.0006150004,0.0000340744,0.00004595837,0.0002995357,0.9978236,0.000004353241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005630508,0.002343508,0.002953231,0.04091762,0.006545328,0.0009860216,0.05248018,0.001025552,0.887118],"genre_scores_gemma":[0.01017954,0.0007976797,0.001571096,0.002415942,0.0002735582,0.000288911,0.004629609,0.0003168555,0.9795268],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8841929,"threshold_uncertainty_score":0.8877062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03994284031733118,"score_gpt":0.2616177161923283,"score_spread":0.2216748758749971,"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."}}