{"id":"W2264421415","doi":"","title":"Way to a Safe, Secure & (and) Efficient Canada - United States Border","year":2010,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Border Security; Computer security; Political science; International trade; Business; Computer science; Public administration","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":[0.002853584,0.0003589292,0.0004415576,0.001922271,0.01892987,0.02016902,0.00156121,0.007589072,0.02536005],"category_scores_gemma":[0.008601244,0.0003972915,0.0006036107,0.001430422,0.008430483,0.005929442,0.005250315,0.008050575,0.001560986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04805649,"about_ca_system_score_gemma":0.1915951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.943247,"about_ca_topic_score_gemma":0.9617443,"domain_scores_codex":[0.9954565,0.0004770418,0.0001087343,0.0004458663,0.001596576,0.001915362],"domain_scores_gemma":[0.9961462,0.0002503441,0.0001247835,0.0002933121,0.001672785,0.001512453],"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":[0.000018669,0.00002498555,0.001723646,0.00001791319,0.00001833543,0.0001587413,0.001122678,0.0004367825,0.0001983413,0.9101017,0.07083862,0.01533964],"study_design_scores_gemma":[0.00004424453,0.00002490759,0.006092815,0.0002925781,0.00004656302,0.0001483069,0.009761603,0.0008383718,0.000708569,0.1336821,0.8482674,0.00009256224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0668892,0.004740983,0.009667687,0.2138055,0.002275144,0.0001622115,0.000668882,0.0004171128,0.7013733],"genre_scores_gemma":[0.7206014,0.001964776,0.01156893,0.03689251,0.0002113236,0.0001040698,0.000258823,0.0002769889,0.2281212],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05675298,"threshold_uncertainty_score":0.3486759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006308663998332218,"score_gpt":0.2543171663988272,"score_spread":0.248008502400495,"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."}}