{"id":"W4398344477","doi":"10.7910/dvn/obafaw","title":"Executive Agreements Database, Statement Regarding the Framework Agreement with Canada On Integrated Cross-border Maritime Law Enforcement Operations. Signed At Detroit May 26, 2009. Entered Into Force October 11, 2012.","year":2012,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Maritime Security and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law; Enforcement; Statement (logic); Agreement; Law enforcement; Political science; Operations research; Database; Engineering; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001765117,0.0008699743,0.0007160027,0.0002001733,0.003620217,0.0006443778,0.001578049,0.0004342331,0.1713946],"category_scores_gemma":[0.0002844457,0.000699754,0.0001484337,0.0003941371,0.001035903,0.001235072,0.001077742,0.001021876,0.006972611],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005055209,"about_ca_system_score_gemma":0.001870005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.917212,"about_ca_topic_score_gemma":0.9917563,"domain_scores_codex":[0.9931361,0.000806516,0.001003148,0.001132646,0.00253915,0.001382418],"domain_scores_gemma":[0.9958178,0.0003594809,0.0005494516,0.002193182,0.0004793539,0.0006007496],"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":[0.0004268191,0.0002728554,0.00004614601,0.0001248278,0.000434336,0.00008570524,0.001704482,0.00007194691,0.00000475145,0.01196958,0.9847472,0.0001113368],"study_design_scores_gemma":[0.001146804,0.0001566075,0.000009184003,0.0005662804,0.0003508711,0.000003155496,0.002731833,0.00001677577,0.00003949594,0.00002858196,0.9940767,0.0008736558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008373922,0.00004639171,0.0004439353,0.0001460104,0.001573682,0.002451596,0.9817178,0.00006942826,0.01346745],"genre_scores_gemma":[0.00113192,0.000464224,0.0007316711,0.004212575,0.00047714,0.000378239,0.9543299,0.00006913556,0.0382052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.164422,"threshold_uncertainty_score":0.9995453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463102835610002,"score_gpt":0.3076245641673797,"score_spread":0.2929935358112796,"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."}}