{"id":"W1871483190","doi":"10.1007/bf03405113","title":"International Monitoring for Environmental Health Surveillance","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Environmental and Analytical Chemistry Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Relevance (law); Context (archaeology); Risk analysis (engineering); Environmental resource management; Environmental monitoring; Environmental planning; Business; Computer science; Geography; Political science; Engineering; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007456341,0.0001065084,0.0002009808,0.00004962289,0.000269475,0.00004024641,0.0002769203,0.00002969602,0.002570089],"category_scores_gemma":[0.00009923935,0.00009875251,0.00008835672,0.00007455575,0.0001795847,0.0001807247,0.00002915292,0.000143437,0.0000568732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790802,"about_ca_system_score_gemma":0.00009156838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008999074,"about_ca_topic_score_gemma":0.001330457,"domain_scores_codex":[0.998607,0.00004372258,0.0003999367,0.0001512883,0.0002478343,0.0005502672],"domain_scores_gemma":[0.998198,0.00004375117,0.0002434145,0.00009543578,0.00000508762,0.001414342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001558279,0.00007342206,0.7710453,0.00001538044,0.00004236789,0.0000102765,0.0007814736,0.00006026758,0.0001218896,0.00002478139,0.03754841,0.1902748],"study_design_scores_gemma":[0.0003801087,0.0001689254,0.1670497,0.00001624233,0.00000142946,0.00005337465,0.0006437922,0.0002043249,0.00003069208,0.00003999814,0.8312818,0.0001296748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6165212,0.008084005,0.00485451,0.3300503,0.003053333,0.0006973965,0.0005553653,0.00003359023,0.03615022],"genre_scores_gemma":[0.9950619,0.0006782029,0.001194129,0.001051615,0.0002950763,0.000003054134,0.000005691636,0.00001131092,0.001698995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7937334,"threshold_uncertainty_score":0.9983417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05255512658874905,"score_gpt":0.2629939661924294,"score_spread":0.2104388396036803,"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."}}