{"id":"W6912012537","doi":"10.5281/zenodo.15291377","title":"GSSO Digital Health Hub Knowledge Translation Webinar","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Digital health; Translation (biology); Field (mathematics); The Internet; Health care; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002265973,0.001226526,0.0009218467,0.00522233,0.0007981323,0.005889201,0.001352922,0.00211507,0.3199796],"category_scores_gemma":[0.007913908,0.0004653783,0.0006246218,0.004959228,0.000554855,0.00397451,0.005131471,0.001348485,0.2749391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007251305,"about_ca_system_score_gemma":0.002213004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555195,"about_ca_topic_score_gemma":0.001571173,"domain_scores_codex":[0.9987854,0.0004022472,0.0001598842,0.0001668693,0.0003676374,0.0001178274],"domain_scores_gemma":[0.9931722,0.002421602,0.0002344038,0.002133248,0.001224946,0.0008135382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003710276,0.0002022655,0.0004622676,0.001192192,0.00003775991,0.0002898422,0.0005037767,0.0005057016,0.002981206,0.008129683,0.7055093,0.279815],"study_design_scores_gemma":[0.00009143302,0.0000419133,0.0006809948,0.0002818673,0.0000207438,0.000190404,0.0003261798,0.001578037,0.002921373,0.01060532,0.9832345,0.00002724319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01000295,0.002732196,0.09656034,0.009015215,0.002547238,0.001000507,0.1380846,0.1648386,0.5752184],"genre_scores_gemma":[0.08019734,0.005284552,0.0745301,0.006617493,0.001691631,0.0008000545,0.3259288,0.0436622,0.4612879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3199796,"threshold_uncertainty_score":0.9699666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235520287800859,"score_gpt":0.4141572568989902,"score_spread":0.2906052281189043,"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."}}