{"id":"W1246728251","doi":"","title":"Immunization in Canada: a success to build on","year":2003,"lang":"en","type":"article","venue":"PubMed Central","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immunization; Computer science; Data science; World Wide Web; Medicine; Immunology; Antibody","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":[],"consensus_categories":[],"category_scores_codex":[0.00009874706,0.00009293827,0.00008079686,0.00002454122,0.00002188749,0.00001664708,0.0001182813,0.00004226208,0.00003119978],"category_scores_gemma":[0.0001117305,0.00009359333,0.00002069713,0.0001000498,0.000008439047,0.000002420241,0.00001846752,0.00004769782,0.000002699826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890746,"about_ca_system_score_gemma":0.0004302762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07462434,"about_ca_topic_score_gemma":0.5767131,"domain_scores_codex":[0.9989662,0.0000474271,0.0001135164,0.0001889133,0.00008734783,0.0005966026],"domain_scores_gemma":[0.9995843,0.000004025062,0.00002370658,0.0001934045,0.0000168366,0.0001777338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004381847,0.0003319391,0.8805653,0.00003307506,0.00009157236,0.00006567512,0.0002130633,0.002022643,0.07100105,0.002016813,0.005816773,0.03740386],"study_design_scores_gemma":[0.0004820363,0.00004809906,0.7806896,0.000005965755,0.000004195781,0.000005088162,0.00004182956,0.00000514946,0.1093316,0.00001572202,0.1091819,0.0001888801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943086,0.0000799629,0.00008932045,0.0001231831,0.0005394299,0.0001969191,0.00001205588,0.000004209669,0.004646314],"genre_scores_gemma":[0.9987856,0.00002233328,0.0000429896,0.000615137,0.00008636525,0.00004810055,0.00004856757,0.0000131068,0.000337857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5020888,"threshold_uncertainty_score":0.9315378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005492810827014947,"score_gpt":0.1860707904645169,"score_spread":0.180577979637502,"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."}}