{"id":"W3125525571","doi":"","title":"Vergelijking van 1F-uitsluitingen van Syrische asielzoekers in Nederland en België","year":2020,"lang":"nl","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Legal Studies and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Humanities; Political science; Art","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":[0.001544773,0.0005183407,0.0007119152,0.00008464419,0.001796385,0.0005782164,0.002229203,0.0002008784,0.0001181107],"category_scores_gemma":[0.000119582,0.0004834686,0.00009760716,0.0008442343,0.000341909,0.0007316121,0.002594114,0.0009020464,0.0001036914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006166977,"about_ca_system_score_gemma":0.0001075443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05329766,"about_ca_topic_score_gemma":0.1184911,"domain_scores_codex":[0.9953631,0.001026117,0.0006735676,0.001085456,0.0005595961,0.0012922],"domain_scores_gemma":[0.9973786,0.001120187,0.0002929649,0.0006574958,0.00003209525,0.0005186966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002276228,0.0001333963,0.2582239,0.00091439,0.0004650163,0.00009733,0.691964,0.002254891,0.0001691046,0.0009285901,0.00658425,0.03803754],"study_design_scores_gemma":[0.001339758,0.0003055832,0.08923425,0.001505149,0.0003463755,0.000006193397,0.1128458,0.1159285,0.00001067518,0.0006505921,0.6764074,0.001419714],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100257,0.01011138,0.0002005641,0.01114229,0.0008633756,0.0006971472,0.001277902,0.0002178831,0.06546371],"genre_scores_gemma":[0.9832485,0.01039508,0.0002334543,0.002185555,0.002940503,0.000009943552,0.0005429782,0.00005416365,0.0003897664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6698232,"threshold_uncertainty_score":0.9997617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113761446024424,"score_gpt":0.2855477943162812,"score_spread":0.254410179856037,"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."}}