{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001913575,0.0002940533,0.000355511,0.0001419233,0.001640167,0.00004149215,0.0004326453,0.0004569595,0.0001960585],"category_scores_gemma":[0.00002519761,0.0003156227,0.0002262172,0.00001725837,0.0005736657,0.0001297653,0.000468089,0.0003494893,0.00009364991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006743287,"about_ca_system_score_gemma":0.0001827713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003668088,"about_ca_topic_score_gemma":0.00003897266,"domain_scores_codex":[0.9983547,0.00008269671,0.0001643713,0.0004224721,0.0005970607,0.0003787415],"domain_scores_gemma":[0.9985956,0.00005694153,0.0001872311,0.0003492879,0.0005038818,0.0003070354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002150134,0.00000989383,0.000001090811,0.00001580619,0.0001418822,0.00008449353,0.0008186993,0.000003259684,1.968664e-7,0.9370055,0.06096942,0.0009282889],"study_design_scores_gemma":[0.0003588695,0.00003085525,0.000002634963,0.0000765284,0.0001827968,3.375916e-7,0.0004143541,0.000001049399,0.000003203634,0.002342321,0.9962202,0.0003667895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001283846,0.000008403652,0.000008549709,0.0003666074,0.0006221943,0.0004202969,0.000338018,0.000181289,0.9980534],"genre_scores_gemma":[0.0008810043,0.0002089741,0.00006865075,0.00004669848,0.0003548545,8.707491e-7,0.00002489108,0.00003395822,0.9983801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9352508,"threshold_uncertainty_score":0.9999296,"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."}}