{"id":"W4294242882","doi":"10.23889/ijpds.v7i3.1950","title":"Harnessing the power of data linkage to enrich the cancer research ecosystem in Canada.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; CancerCare Manitoba; Saskatchewan Cancer Agency; Alberta Health Services; McGill University; University of British Columbia; Nova Scotia Health Authority; Ontario Institute for Cancer Research; Dalhousie University","funders":"","keywords":"Biobank; Data sharing; Record linkage; Cancer registry; Health care; General partnership; Linkage (software); Population health; Population; Business; Medicine; Political science; Environmental health; Bioinformatics; Alternative medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1220644,0.0009699969,0.001662103,0.01917816,0.0153025,0.01596186,0.005870332,0.002467811,0.006325244],"category_scores_gemma":[0.2139676,0.001314022,0.002274507,0.0423011,0.005089737,0.007748956,0.02664767,0.004509857,0.001648376],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1095829,"about_ca_system_score_gemma":0.4200545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9708951,"about_ca_topic_score_gemma":0.9802369,"domain_scores_codex":[0.9013082,0.04160842,0.006778355,0.009649483,0.03319874,0.007456801],"domain_scores_gemma":[0.6859695,0.07730042,0.01563023,0.04340877,0.1545955,0.02309567],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004503069,0.0001180909,0.1613356,0.00322795,0.001570325,0.0005995964,0.0127491,0.00545977,0.001205072,0.1166816,0.3089216,0.3876811],"study_design_scores_gemma":[0.0001646815,0.00007907266,0.08096117,0.005442664,0.0007213575,0.0002707005,0.009663192,0.007413454,0.001462415,0.06817349,0.8252785,0.0003694019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04581939,0.03701777,0.1195051,0.5335819,0.00401536,0.00377513,0.1479864,0.004171772,0.1041272],"genre_scores_gemma":[0.3059342,0.02953255,0.4939687,0.05051085,0.001597443,0.003457803,0.08885168,0.002049569,0.02409731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8904171,"threshold_uncertainty_score":0.7950835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3355970004829542,"score_gpt":0.5101747246973648,"score_spread":0.1745777242144106,"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."}}