{"id":"W4246834628","doi":"10.1377/forefront.20160322.054067","title":"Health Is Not Always Local: Beginning A Cross-Border Health Dialogue","year":2016,"lang":"en","type":"dataset","venue":"Forefront Group","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography","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":[0.00801365,0.0004218748,0.00071288,0.002228089,0.001664042,0.006196104,0.002168258,0.002275132,0.02235588],"category_scores_gemma":[0.0324932,0.0004866772,0.0008168607,0.005543852,0.000898282,0.006339282,0.00558483,0.003940942,0.007016506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004963498,"about_ca_system_score_gemma":0.005649918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08760709,"about_ca_topic_score_gemma":0.2139251,"domain_scores_codex":[0.995692,0.002376474,0.0004328079,0.0004657321,0.0005843455,0.0004487038],"domain_scores_gemma":[0.9843765,0.007003866,0.001449157,0.003063371,0.002455975,0.001651134],"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":[0.0001015461,0.00002707839,0.01421612,0.0003754433,0.00005058812,0.00003972055,0.0004656287,0.0002404135,0.00002499345,0.01215602,0.9618599,0.0104425],"study_design_scores_gemma":[0.00009704733,0.00001012753,0.01441698,0.001476027,0.00003624865,0.00006756412,0.001717777,0.0004546208,0.00009438193,0.01072353,0.9708753,0.00003052513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01107622,0.005839115,0.002426923,0.1038861,0.001325991,0.00009680552,0.8507124,0.0004259906,0.02421048],"genre_scores_gemma":[0.05783295,0.003795101,0.009914538,0.02319885,0.0007875333,0.0006469879,0.8947294,0.0005026307,0.00859201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08760709,"threshold_uncertainty_score":0.1741943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089817992958655,"score_gpt":0.374884475172103,"score_spread":0.3439862952425164,"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."}}