{"id":"W7072161226","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":"Government (linguistics); Negotiation; State (computer science); Legislation; Agency (philosophy)","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":[0.002241877,0.0003305426,0.0003324128,0.001620656,0.01732783,0.01883117,0.00142919,0.006528428,0.02477284],"category_scores_gemma":[0.007250844,0.0003759151,0.0004770965,0.001517125,0.00696042,0.004626623,0.004214741,0.006548143,0.001322214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05340752,"about_ca_system_score_gemma":0.1893943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9687188,"about_ca_topic_score_gemma":0.9808724,"domain_scores_codex":[0.9960873,0.0003400978,0.00009082875,0.0003864736,0.001525649,0.001569705],"domain_scores_gemma":[0.9970253,0.0002134597,0.0001107858,0.000204932,0.001438251,0.001007292],"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":[0.00001425479,0.00002091666,0.001822265,0.00001703389,0.00001337629,0.0001241789,0.0009509361,0.0004532757,0.0001783846,0.9169876,0.06558563,0.01383216],"study_design_scores_gemma":[0.00004104318,0.00002186241,0.009593286,0.0002521973,0.00005338581,0.0001325604,0.008423558,0.001060932,0.0006756962,0.1165272,0.8631279,0.00009035948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06238941,0.003161111,0.007415138,0.1417118,0.001388428,0.0001470943,0.0006416722,0.0002403327,0.782905],"genre_scores_gemma":[0.6711116,0.001832403,0.008339358,0.02775694,0.0001652907,0.00009492916,0.0002228253,0.0001666017,0.2903101],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05340752,"threshold_uncertainty_score":0.3875005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008056009248436122,"score_gpt":0.2630864944399538,"score_spread":0.2550304851915177,"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."}}