{"id":"W6999069786","doi":"","title":"Canada-United States Law Institute Conference on Canada-U.S. Security and the Economy in the North America Context: List of Participants","year":2003,"lang":"en","type":"article","venue":"Canada-United States law journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Government (linguistics); Legislation; Digital economy","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":[0.003064391,0.001186703,0.0008811204,0.003913571,0.01866964,0.008626743,0.002458009,0.009197234,0.04152495],"category_scores_gemma":[0.00349695,0.0005548883,0.0008931881,0.005817921,0.00197519,0.002325542,0.004027917,0.005700434,0.004937727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06153875,"about_ca_system_score_gemma":0.2891655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9499721,"about_ca_topic_score_gemma":0.9818169,"domain_scores_codex":[0.9962164,0.0001591015,0.00006505063,0.0001945937,0.001461365,0.001903533],"domain_scores_gemma":[0.9924268,0.0002685472,0.0001234028,0.00007617563,0.003943252,0.003161903],"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":[0.00002721819,0.0000229625,0.0006226551,0.0001214737,0.000005062684,0.00007523128,0.0002859279,0.00005963692,0.0001311467,0.005929112,0.9854605,0.007259105],"study_design_scores_gemma":[0.00001283374,0.000006309767,0.004017611,0.0001988426,0.00001083472,0.00002063279,0.001758168,0.00005096069,0.0001340179,0.0008446591,0.992923,0.00002209613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01379414,0.07624786,0.001446488,0.3150736,0.04928144,0.002637763,0.02210551,0.0004527491,0.5189605],"genre_scores_gemma":[0.08401965,0.03004741,0.002407856,0.04078045,0.003845978,0.001183337,0.006631952,0.0002301988,0.8308533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06153875,"threshold_uncertainty_score":0.446497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383072498184433,"score_gpt":0.2528115826682089,"score_spread":0.2289808576863645,"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."}}