{"id":"W4288742556","doi":"10.1163/15723747-19010007","title":"Strengthening the Monitoring of States’ Compliance with the International Health Regulations","year":2022,"lang":"en","type":"article","venue":"International Organizations Law Review","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"International Health Regulations; Compliance (psychology); International law; Public health; Pandemic; Political science; Law; Public relations; Medicine; Coronavirus disease 2019 (COVID-19); Psychology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1024769,0.0002805317,0.0003432452,0.004759433,0.002138653,0.006655097,0.002015896,0.0026086,0.001524141],"category_scores_gemma":[0.1348824,0.0004614534,0.0003925508,0.003372666,0.004970146,0.006350035,0.002631,0.003804917,0.0002336274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004825365,"about_ca_system_score_gemma":0.0225793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02204902,"about_ca_topic_score_gemma":0.02300051,"domain_scores_codex":[0.9268944,0.04505626,0.004657352,0.003567768,0.01643057,0.003393668],"domain_scores_gemma":[0.8053668,0.08960938,0.03820036,0.01494746,0.05014532,0.001730628],"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":[0.00007559782,0.0002746316,0.1337542,0.0009145273,0.0001752313,0.0003217396,0.01807438,0.005469967,0.001657106,0.588321,0.03634006,0.2146215],"study_design_scores_gemma":[0.00005732883,0.001326526,0.2943281,0.005177264,0.0002506716,0.0004309536,0.0307965,0.01907216,0.008718454,0.1283746,0.5111178,0.0003496922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3902928,0.01151456,0.08459586,0.1339003,0.001478597,0.001692447,0.001392336,0.0004712323,0.3746619],"genre_scores_gemma":[0.9714106,0.002340705,0.01648768,0.005259045,0.0004216561,0.0002467248,0.000270079,0.00002821059,0.003535421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1024769,"threshold_uncertainty_score":0.5419559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434770525605907,"score_gpt":0.364835846939251,"score_spread":0.3204881416831919,"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."}}