{"id":"W4388547292","doi":"10.1515/9781805390879-004","title":"Acknowledgments","year":2023,"lang":"en","type":"book-chapter","venue":"Berghahn Books","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002205135,0.0001762819,0.0001931357,0.00007239733,0.0005128288,0.00008524748,0.0003984569,0.0003125671,0.001240846],"category_scores_gemma":[0.00002881074,0.0001864231,0.0001541403,0.00002908709,0.0002400022,0.00004937198,0.0001433655,0.0002717002,0.01192004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370853,"about_ca_system_score_gemma":0.0002702242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000290131,"about_ca_topic_score_gemma":0.003726854,"domain_scores_codex":[0.9988111,0.00001319489,0.0002125706,0.0003116542,0.0003861475,0.0002653912],"domain_scores_gemma":[0.9992148,0.00007029308,0.0001172705,0.000338144,0.00009648059,0.0001629704],"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":[0.000001025296,0.000004455199,0.000003258396,0.000005960698,0.00002553842,0.000004684455,0.000459805,2.491311e-7,0.000002441009,0.9406716,0.05504126,0.003779702],"study_design_scores_gemma":[0.00005338199,0.000005778568,0.00001379016,0.00004679804,0.00002576481,1.530203e-7,0.00004050591,9.252009e-7,0.000003066957,0.1330915,0.8665359,0.0001824756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006805222,0.0001042644,0.00001505131,0.0008974193,0.0004952232,0.000330049,0.00005686544,0.0003147312,0.9977796],"genre_scores_gemma":[0.0009342977,0.0002007595,0.00005673455,0.0001745448,0.001024392,0.00003782411,0.0000313026,0.00006333537,0.9974768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8114946,"threshold_uncertainty_score":0.9996722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07772392307382392,"score_gpt":0.3284548789549998,"score_spread":0.2507309558811758,"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."}}