{"id":"W4389676949","doi":"10.1515/9780889778276-023","title":"16. Ontario’s History of Tampering and Re-tampering with Birth Registration Documents","year":2021,"lang":"en","type":"book-chapter","venue":"University of Regina Press eBooks","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genealogy; History; Art; Computer science","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":[0.003418109,0.0005679855,0.0003372633,0.003390213,0.02244729,0.008697618,0.001736154,0.005282073,0.04689783],"category_scores_gemma":[0.007989718,0.0007970527,0.0005323729,0.004872471,0.01161848,0.003824909,0.003099186,0.003872572,0.008803404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07362653,"about_ca_system_score_gemma":0.1098049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9585758,"about_ca_topic_score_gemma":0.987651,"domain_scores_codex":[0.9954712,0.0006597416,0.0001708923,0.0003700914,0.001839404,0.001488694],"domain_scores_gemma":[0.9955674,0.001503761,0.0002281794,0.0004361656,0.001740364,0.0005241724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003679768,0.0000193375,0.001099643,0.0001855071,0.0000068606,0.0006993506,0.0381891,0.00006385827,0.0002697394,0.3335394,0.5711896,0.05470073],"study_design_scores_gemma":[0.000001909882,0.000002412374,0.000688664,0.00006737949,0.000002926173,0.00004123982,0.00123848,0.000007311683,0.00005829024,0.00101763,0.9968668,0.000007018218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004461959,0.01133375,0.00056899,0.04342377,0.001636659,0.00008592615,0.0005104308,0.0001059421,0.9378726],"genre_scores_gemma":[0.03249819,0.004249467,0.0004622632,0.006629934,0.0001718533,0.00004748386,0.00009098675,0.0001053328,0.9557445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07362653,"threshold_uncertainty_score":0.5342003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791172102422956,"score_gpt":0.1908761803238305,"score_spread":0.1529644592996009,"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."}}