{"id":"W645879912","doi":"10.57912/23875341","title":"RELATIONS UNDER ECONOMIC DEPENDENCY: MEXICO AND CANADA","year":2023,"lang":"en","type":"book","venue":"Figshare","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dependency (UML); Geography; Political science; Computer science; Artificial intelligence","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":[0.0009956312,0.000244459,0.0005171509,0.002297406,0.01383261,0.005496628,0.001021258,0.001332512,0.01313129],"category_scores_gemma":[0.003755581,0.0002777099,0.0003956268,0.009760579,0.003205462,0.001589718,0.003662019,0.002171384,0.0003004731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1326826,"about_ca_system_score_gemma":0.1663002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979444,"about_ca_topic_score_gemma":0.9990473,"domain_scores_codex":[0.9984435,0.00009032252,0.00002227824,0.00008533479,0.000285406,0.001073124],"domain_scores_gemma":[0.9979843,0.0002233954,0.000236309,0.0000622582,0.0008488229,0.0006448654],"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":[0.0003948486,0.000113992,0.1134796,0.0005527721,0.0001379129,0.001357153,0.04809721,0.002712588,0.000270143,0.4275515,0.304184,0.1011483],"study_design_scores_gemma":[0.0000763033,0.00003267237,0.3823483,0.001229424,0.0001215644,0.0001942267,0.08560866,0.0009893492,0.0002078828,0.01170041,0.5173863,0.0001049446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4366769,0.02484139,0.0003742598,0.09366777,0.0003790375,0.0001148337,0.009409704,0.00006338183,0.4344729],"genre_scores_gemma":[0.8842716,0.0215502,0.0004901905,0.002833577,0.0001037685,0.00008848914,0.001948277,0.00003809102,0.08867581],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1326826,"threshold_uncertainty_score":0.9626843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03885131162387213,"score_gpt":0.2626208977436273,"score_spread":0.2237695861197552,"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."}}