{"id":"W4391394043","doi":"10.1515/9781580466448-002","title":"Acknowledgments","year":2005,"lang":"en","type":"book-chapter","venue":"Boydell and Brewer eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; University of Toronto; Wellcome Trust; Royal College of Physicians of Edinburgh; McMaster University; University College London; McGill University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001961456,0.000180458,0.0002011656,0.00006680786,0.0006782704,0.0000605777,0.00009737151,0.0002836374,0.0005657884],"category_scores_gemma":[0.000007261729,0.000154115,0.0001030066,0.0000079459,0.0004103575,0.00003472744,0.00009386805,0.0001843277,0.000204478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006120567,"about_ca_system_score_gemma":0.0000976847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001472319,"about_ca_topic_score_gemma":0.003036086,"domain_scores_codex":[0.999037,0.00001049993,0.0001832794,0.0002460118,0.0002761405,0.0002470789],"domain_scores_gemma":[0.9994891,0.00003476825,0.00008033592,0.0001342911,0.0001204059,0.0001411271],"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":[0.000008116689,0.00000736528,0.000007230978,0.00001511254,0.00007270245,0.0000150979,0.00338079,9.916083e-8,0.00000212025,0.8592228,0.03034673,0.1069218],"study_design_scores_gemma":[0.0001222882,0.00001566105,0.00002516072,0.00005075418,0.0000500874,0.000001636009,0.000166605,9.179266e-7,0.000002121867,0.01024699,0.9891104,0.0002073892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003545435,0.001530898,0.00001078085,0.0004968412,0.0004458996,0.0002166132,0.00001922489,0.00005494733,0.9971893],"genre_scores_gemma":[0.006626106,0.0003495482,0.00008724043,0.0003075284,0.001858959,0.000003325125,0.000005749529,0.00002320288,0.9907383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9587637,"threshold_uncertainty_score":0.6284628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693294670875693,"score_gpt":0.2733843419659243,"score_spread":0.2464513952571673,"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."}}