{"id":"W7028976227","doi":"","title":"How can we better engage and assess our growing and diverse cohorts? Opportunities from technology partnering.","year":2023,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Demotion","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":[],"consensus_categories":[],"category_scores_codex":[0.05607169,0.000560873,0.001135148,0.002531037,0.004527484,0.008696265,0.001935879,0.003144876,0.01143296],"category_scores_gemma":[0.1004547,0.0006357384,0.0006415925,0.002472297,0.002442779,0.01492743,0.01414191,0.004288354,0.004458229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776964,"about_ca_system_score_gemma":0.009889707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519502,"about_ca_topic_score_gemma":0.06905333,"domain_scores_codex":[0.9839569,0.01045618,0.0006874292,0.0007002886,0.002208659,0.001990475],"domain_scores_gemma":[0.9406206,0.01818374,0.00378792,0.004665223,0.01175776,0.02098475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002739179,0.0007146813,0.2844625,0.001034999,0.0001211373,0.000568857,0.1472175,0.0001055657,0.001155826,0.006471193,0.1281688,0.429705],"study_design_scores_gemma":[0.0001555428,0.001374685,0.2821231,0.004844807,0.0001715512,0.001277082,0.3063813,0.0003837594,0.0009824544,0.03233821,0.3696391,0.0003284306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3896954,0.02939822,0.01716025,0.5006716,0.006612098,0.001178227,0.003725249,0.0005033162,0.05105556],"genre_scores_gemma":[0.8080785,0.03121145,0.04486958,0.08513398,0.002217841,0.005553841,0.002031652,0.0003323609,0.02057087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05607169,"threshold_uncertainty_score":0.296539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08243428492155863,"score_gpt":0.3198080065277521,"score_spread":0.2373737216061935,"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."}}