{"id":"W7043370673","doi":"","title":"Destination Europe","year":2022,"lang":"en","type":"other","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Immigration; European integration; Politics; Relation (database); Perspective (graphical); European studies; Member states","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006423009,0.0005973183,0.0003532537,0.001517842,0.001977811,0.007957081,0.0007294178,0.001040959,0.1941238],"category_scores_gemma":[0.001219034,0.0001316437,0.000354954,0.00332333,0.0004538184,0.002444449,0.003989554,0.0009904408,0.06951373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182558,"about_ca_system_score_gemma":0.002211834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007388018,"about_ca_topic_score_gemma":0.006736794,"domain_scores_codex":[0.9995233,0.00008563883,0.00003849721,0.00009492833,0.0001331245,0.0001246007],"domain_scores_gemma":[0.9996359,0.00002356454,0.00003471009,0.00005578677,0.0001287276,0.0001212923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009957798,0.00005907919,0.003664002,0.0005149897,0.00001622592,0.0007550397,0.002543256,0.0002268037,0.0003274344,0.2947163,0.51315,0.1839273],"study_design_scores_gemma":[0.000002501481,0.000003867363,0.0006889894,0.00005481192,0.000001159984,0.0001331858,0.0003207169,0.00001281304,0.00003480302,0.001496529,0.9972485,0.000002042491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005521249,0.003256588,0.0009892698,0.002164174,0.00108267,0.00005014435,0.005413194,0.0002194116,0.9813033],"genre_scores_gemma":[0.03935197,0.005597255,0.001506935,0.001100313,0.0002098924,0.00007979693,0.01227495,0.0004512349,0.9394277],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1941238,"threshold_uncertainty_score":0.6494089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045184711478145,"score_gpt":0.2528580781776275,"score_spread":0.232406231062846,"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."}}