{"id":"W6907655095","doi":"10.25384/sage.13293577.v1","title":"sj-pdf-1-msc-10.1177_0969141320974711 - Supplemental material for The impact of episodic screening interruption: COVID-19 and population-based cancer screening in Canada","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Adult and Continuing Education Topics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer screening; Medical screening; Screening test; Cancer; Cancer incidence; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001327792,0.0008593426,0.0008885204,0.002957577,0.002872355,0.004483765,0.002655252,0.001831755,0.8952662],"category_scores_gemma":[0.01601432,0.0007903132,0.000790338,0.0048406,0.0006496834,0.001429125,0.00247047,0.001682245,0.5552177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01107485,"about_ca_system_score_gemma":0.02660051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7537637,"about_ca_topic_score_gemma":0.8233203,"domain_scores_codex":[0.9981654,0.00007391669,0.00008393011,0.0001335117,0.001146013,0.0003972559],"domain_scores_gemma":[0.9839758,0.002844431,0.0004560315,0.000528474,0.008797409,0.003397817],"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":[0.00001624066,0.0000197235,0.0003199278,0.00005209033,0.000002122649,0.000008516611,0.00001600956,0.00003648997,0.0000214501,0.0001557793,0.9928252,0.006526635],"study_design_scores_gemma":[0.0002280682,0.00003863758,0.01662278,0.0004295407,0.00001741426,0.00006114638,0.0002701401,0.0003230608,0.0002524001,0.0007414252,0.9809597,0.00005567946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000619291,0.0002795975,0.0004791726,0.003757663,0.001371695,0.0004273768,0.7755812,0.003578442,0.2139055],"genre_scores_gemma":[0.01071637,0.001283825,0.003367192,0.002919554,0.0006980515,0.0006221359,0.4221775,0.004552305,0.5536631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8952662,"threshold_uncertainty_score":0.4953728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0999778566392337,"score_gpt":0.3830475659420126,"score_spread":0.2830697093027789,"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."}}