{"id":"W2753312932","doi":"","title":"Balancing Canada - United States Security and Economic Competitiveness: The Great Lakes and St. Lawrence River","year":2010,"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":true,"ca_institutions":"","funders":"","keywords":"Economic security; Geography; Political science; Law","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":[0.001569751,0.0003090409,0.0004029605,0.00146256,0.01765416,0.01811226,0.001490684,0.003915584,0.01034433],"category_scores_gemma":[0.003931757,0.0002649826,0.0003708889,0.002942089,0.01044401,0.003935835,0.004093768,0.003966805,0.0004731134],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.141654,"about_ca_system_score_gemma":0.2037134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9878246,"about_ca_topic_score_gemma":0.9957116,"domain_scores_codex":[0.9961699,0.0003902098,0.0000396795,0.0002192933,0.001071512,0.00210949],"domain_scores_gemma":[0.9981832,0.0002768772,0.00007973782,0.00003440659,0.0006509641,0.0007747579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003661827,0.00001927657,0.00722411,0.00005997288,0.00002104694,0.0002501283,0.003942997,0.0005370624,0.0001097202,0.8697292,0.09918325,0.01888657],"study_design_scores_gemma":[0.00005111695,0.00003655331,0.04337185,0.0009387775,0.0001252446,0.0001790211,0.06773685,0.002010728,0.0006698185,0.1456909,0.7390229,0.0001662822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08846339,0.01963024,0.0009231454,0.3781914,0.0005456254,0.00003599493,0.0006973985,0.00008627937,0.5114264],"genre_scores_gemma":[0.8874344,0.006587679,0.000852029,0.02022169,0.0001374522,0.0000238076,0.0001607915,0.00006226635,0.08452003],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.141654,"threshold_uncertainty_score":0.9955598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006469645454657135,"score_gpt":0.2198696351604716,"score_spread":0.2133999897058144,"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."}}