{"id":"W349836510","doi":"","title":"Home Affairs did not do so well last year : legal - border crossing","year":2012,"lang":"en","type":"article","venue":"HR Future","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Veterans Affairs; Political science; Law; History; Medicine; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005163638,0.00009081313,0.0001112025,0.00004739264,0.0008775753,0.0002852441,0.0001395203,0.0001978225,0.001486866],"category_scores_gemma":[0.00003412124,0.00008223871,0.00004376378,0.0002711137,0.0002005787,0.0003475478,0.00002624611,0.0002462523,0.0004113092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006554617,"about_ca_system_score_gemma":0.0002465574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001619933,"about_ca_topic_score_gemma":0.001968541,"domain_scores_codex":[0.9988359,0.00009364563,0.000143764,0.0001441021,0.0003377198,0.0004449336],"domain_scores_gemma":[0.9995053,0.00002978845,0.00005776537,0.000136762,0.0001011771,0.0001692138],"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":[0.00003670135,0.0001775338,0.01878153,0.00007679936,0.00002558207,0.00000899011,0.1145102,6.00157e-7,0.0001577396,0.6901931,0.07685789,0.09917337],"study_design_scores_gemma":[0.0001114003,0.000009350189,0.01071497,0.00001102132,0.000002124566,7.581756e-7,0.049223,4.098405e-7,0.00003695773,0.00006089365,0.9397188,0.0001103346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5959517,0.002157161,0.00004482588,0.1696959,0.006676028,0.0002547357,0.00002034121,0.0003142451,0.2248851],"genre_scores_gemma":[0.9887537,0.0001242591,0.0002020977,0.001155051,0.006157375,0.000004246649,0.000004726643,0.00001358032,0.003584959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8628609,"threshold_uncertainty_score":0.9994259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729370516630982,"score_gpt":0.3550601227275604,"score_spread":0.3277664175612506,"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."}}