{"id":"W4377996082","doi":"10.21832/9781845418915-001","title":"Acknowledgements","year":2023,"lang":"en","type":"book-chapter","venue":"Multilingual Matters eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Hong Kong; University of Alberta","keywords":"Computer science","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":[],"category_scores_codex":[0.003739218,0.0007147033,0.0009716696,0.003396485,0.005263832,0.004085139,0.002426765,0.001629256,0.2715594],"category_scores_gemma":[0.01912344,0.0004077904,0.0006955204,0.002655196,0.001249042,0.001622447,0.003526371,0.003505673,0.1159756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02335179,"about_ca_system_score_gemma":0.04220591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6068336,"about_ca_topic_score_gemma":0.7276835,"domain_scores_codex":[0.9942708,0.0005230274,0.0001840164,0.0004469556,0.003826116,0.0007489822],"domain_scores_gemma":[0.9572613,0.001353325,0.0004639086,0.000902663,0.03378694,0.006231964],"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":[0.00001129033,0.000005405604,0.0001263055,0.00002505354,0.000001075101,0.00004259077,0.0001229378,0.00002662186,0.00008651624,0.002527021,0.9890978,0.007927299],"study_design_scores_gemma":[0.000004062932,0.000002158935,0.0004359621,0.00004009492,0.000001621908,0.0000436683,0.0003114021,0.00003432186,0.000047925,0.0004195429,0.9986544,0.000004816828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002420747,0.007596398,0.003223745,0.3256158,0.08162065,0.001163546,0.02366221,0.001450631,0.5532462],"genre_scores_gemma":[0.005119106,0.001437462,0.001139791,0.01307224,0.002498597,0.000198705,0.002499173,0.0002617923,0.9737732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7284406,"threshold_uncertainty_score":0.9084567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834577240029011,"score_gpt":0.3326311736227678,"score_spread":0.2742854012224777,"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."}}