{"id":"W2054826800","doi":"10.4018/jhisi.2012100103","title":"CliFin","year":2012,"lang":"en","type":"article","venue":"International Journal of Healthcare Information Systems and Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of New Brunswick; National Research Council Canada; Université de Moncton","funders":"","keywords":"Computer science; Visualization; Geographic information system; Information system; Schedule; Frame (networking); Process (computing); Health care; World Wide Web; Data science; Data mining; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008715292,0.0000986931,0.0002651759,0.0003355363,0.00003996271,0.0001011347,0.0001281477,0.0000684223,0.0000157147],"category_scores_gemma":[0.0002087628,0.00007617781,0.00007262113,0.00008558353,0.00003059022,0.004358401,0.00004179272,0.000191427,0.00007331651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390635,"about_ca_system_score_gemma":0.0001769899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000390071,"about_ca_topic_score_gemma":6.739406e-7,"domain_scores_codex":[0.9975254,0.00002928514,0.001505871,0.00001923603,0.0007448594,0.0001753392],"domain_scores_gemma":[0.9970329,0.00004788003,0.001087675,0.0001142535,0.001393775,0.0003234944],"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":[0.001160478,0.0002696113,0.6340536,0.003280352,0.0009445927,0.00002471677,0.02635621,0.0002236883,0.00002304441,0.07630952,0.04640542,0.2109487],"study_design_scores_gemma":[0.001599415,0.0001890095,0.07107864,0.0005287494,0.00002670131,0.00322987,0.005713502,0.001444319,0.00002313659,0.00001535115,0.9160247,0.0001266155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044086,0.006487073,0.01585538,0.01019891,0.01677873,0.00136069,0.000751749,0.0001646617,0.04399426],"genre_scores_gemma":[0.9956725,0.0005537911,0.001349956,0.001783277,0.0005161713,0.000003186063,0.00009120523,0.000004218159,0.00002565414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8696193,"threshold_uncertainty_score":0.3159736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122681995927976,"score_gpt":0.3265263324663171,"score_spread":0.3052995125070373,"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."}}