{"id":"W7018058694","doi":"","title":"De ontwikkeling van automatische nummerplaatherkenning voor opsporingsdoeleinden in Nederland","year":2023,"lang":"nl","type":"article","venue":"Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)","topic":"Legal and Social Justice Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Civil service; Rural development; Research methodology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009702721,0.0006987093,0.001137284,0.001154233,0.001721347,0.000305239,0.00175935,0.0010757,0.000072715],"category_scores_gemma":[0.0002218151,0.0008701129,0.0005707062,0.00277612,0.001456895,0.003365211,0.001218874,0.001551255,0.0002627082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615788,"about_ca_system_score_gemma":0.0008120155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004648872,"about_ca_topic_score_gemma":0.000347101,"domain_scores_codex":[0.9946301,0.0005335928,0.0009223325,0.001092694,0.001191409,0.001629851],"domain_scores_gemma":[0.997053,0.0006618972,0.0009353033,0.0004505335,0.0003140833,0.0005851773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001505891,0.0006380172,0.4255815,0.001348089,0.001594017,0.006447446,0.5250778,0.002763452,0.003679632,0.0079644,0.009443857,0.01395592],"study_design_scores_gemma":[0.005405073,0.0006018672,0.07329695,0.003303631,0.0009665661,0.00005433396,0.7579463,0.00337369,0.0005161357,0.0007277907,0.1512277,0.002580037],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8463919,0.0004069992,0.00008979994,0.001001651,0.000887021,0.0005702729,0.0001311796,0.0003763049,0.1501449],"genre_scores_gemma":[0.9050013,0.0008572664,0.00005790003,0.00007812212,0.0004819446,8.630055e-7,0.00003719713,0.00005518467,0.09343023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3522845,"threshold_uncertainty_score":0.9995783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174535044270779,"score_gpt":0.2554852641575797,"score_spread":0.2380317597305018,"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."}}