{"id":"W4255837099","doi":"10.5539/jpl.v12n2p105","title":"Reviewer Acknowledgements for Journal of Politics and Law, Vol. 12, No. 2","year":2019,"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; Political science; Law; Sociology; Library science; Computer 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":[0.0006519719,0.0001342042,0.0003908245,0.0001028397,0.00008772667,0.0003042483,0.0003718897,0.00005364122,0.00001426915],"category_scores_gemma":[0.001381226,0.0001067741,0.0001455819,0.00005399197,0.0000697413,0.0008509988,0.0001424382,0.0001931089,0.00001157992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008149845,"about_ca_system_score_gemma":0.000180704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001462867,"about_ca_topic_score_gemma":0.0000134838,"domain_scores_codex":[0.9985666,0.0000371891,0.000663023,0.0001171504,0.0003042619,0.0003117435],"domain_scores_gemma":[0.9930553,0.0002821665,0.0004981197,0.0001913819,0.005691947,0.0002810448],"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":[0.00001642736,0.0001454288,0.001758487,0.0008299929,0.0001533874,0.00002367518,0.0004854793,0.00000618563,0.0002197387,0.9740946,0.02015869,0.002107968],"study_design_scores_gemma":[0.001751121,0.001134935,0.0007766523,0.0008026864,0.00008574331,0.0001015405,0.00003958718,0.0009553184,0.0005915464,0.03996325,0.9535799,0.0002177509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.669948,0.02514081,0.1488051,0.006405178,0.07293758,0.002174661,0.0001715734,0.00007167123,0.07434542],"genre_scores_gemma":[0.9798419,0.0003402261,0.009406985,0.005212404,0.002534344,8.359329e-7,5.517572e-7,0.00002394553,0.002638844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9341313,"threshold_uncertainty_score":0.4354123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428341528290428,"score_gpt":0.2943306831772762,"score_spread":0.2700472678943719,"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."}}