{"id":"W4281638438","doi":"10.5539/jpl.v15n2p60","title":"Reviewer Acknowledgements for Journal of Politics and Law, Vol. 15, No. 2","year":2022,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008639144,0.0001232731,0.0003445945,0.0001201595,0.0002648619,0.0002537571,0.0004428384,0.00002868022,0.00002514325],"category_scores_gemma":[0.001471645,0.0001068409,0.0001475358,0.00008999097,0.00007532457,0.0006033921,0.0003034031,0.0002667046,0.000002229013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377531,"about_ca_system_score_gemma":0.0002264075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001679536,"about_ca_topic_score_gemma":0.00001087551,"domain_scores_codex":[0.998451,0.00006648268,0.0006695425,0.0001146841,0.000394355,0.0003039529],"domain_scores_gemma":[0.9941975,0.000271489,0.0005202314,0.0001676262,0.004576264,0.0002668569],"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":[0.00001755953,0.0001982331,0.0004424677,0.0004312182,0.0001430604,0.00005793344,0.000711361,0.00002061594,0.0001060865,0.9478713,0.04790891,0.002091272],"study_design_scores_gemma":[0.001050566,0.0009669422,0.0001948744,0.0001803359,0.00006932651,0.0001488814,0.00007011087,0.0007794369,0.0002007864,0.03966779,0.9565216,0.0001493684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4574316,0.06927626,0.2765858,0.01902583,0.1191495,0.002983153,0.0007026125,0.000131286,0.05471402],"genre_scores_gemma":[0.9780252,0.0002749086,0.008666863,0.008485271,0.002732497,0.000003149328,0.000001059381,0.00002736338,0.001783719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9086127,"threshold_uncertainty_score":0.4356844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722504191637711,"score_gpt":0.2983276354978775,"score_spread":0.2711025935815004,"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."}}