{"id":"W4393293968","doi":"10.1515/9781478059233-001","title":"Acknowledgments","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Amherst College; University of Virginia; Fordham University; Brandeis University; York University; University of Pennsylvania","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004331294,0.0008520051,0.000759482,0.001926706,0.002184307,0.003021485,0.001703276,0.00127187,0.2263429],"category_scores_gemma":[0.0221733,0.0002928469,0.0004241624,0.001494486,0.0007496304,0.001891361,0.003366305,0.003292568,0.1665128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003137042,"about_ca_system_score_gemma":0.005039046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005724585,"about_ca_topic_score_gemma":0.01021112,"domain_scores_codex":[0.9952379,0.001099703,0.0001815333,0.0005000288,0.002728294,0.0002524905],"domain_scores_gemma":[0.9789464,0.002054313,0.0006154135,0.0009261228,0.01403244,0.003425329],"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":[0.00002587469,0.000008163212,0.0002434146,0.00006638915,0.000002275341,0.00008439938,0.0003652458,0.00004106978,0.0001973686,0.005929122,0.9696761,0.02336044],"study_design_scores_gemma":[0.000003369836,0.000003994645,0.0002010894,0.00006265875,0.000001825244,0.0001084838,0.0002721245,0.00003340964,0.0000607318,0.001110476,0.9981378,0.000003966001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004716862,0.009836326,0.01731132,0.1974359,0.09630473,0.0009955516,0.0236131,0.003177889,0.6466084],"genre_scores_gemma":[0.01370425,0.003377995,0.01021429,0.02427165,0.006687638,0.0005118151,0.007894786,0.001528776,0.9318088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7736571,"threshold_uncertainty_score":0.7571926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363509388178842,"score_gpt":0.3190168246748592,"score_spread":0.2853817307930708,"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."}}