{"id":"W2730793781","doi":"10.1093/geroni/igx004.2207","title":"EVALUATION OF KNOWLEDGE MOBILIZATION IN GERONTOLOGY: DIGITAL TOOLS, PAPER TOOLS, OR BOTH?","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital literacy; Medical education; Mental health; Literacy; Psychology; Dementia; Knowledge management; Public relations; Medicine; Political science; Computer science; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003326457,0.00008500947,0.0001562516,0.0004551766,0.0002205939,0.000164926,0.0003476242,0.0001789536,0.00006662154],"category_scores_gemma":[0.009077995,0.00008752765,0.00001405549,0.0008819891,0.0002449791,0.002333792,0.00007366923,0.0001452634,0.000009511213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527193,"about_ca_system_score_gemma":0.0004575932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005454976,"about_ca_topic_score_gemma":0.01960343,"domain_scores_codex":[0.9984897,0.0001486882,0.000521138,0.0002295084,0.0003960258,0.0002148776],"domain_scores_gemma":[0.9985499,0.0001309354,0.0003630588,0.0003206302,0.0006233377,0.0000121142],"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":[0.00001554423,0.0001388933,0.3708268,0.00001784265,0.0000078098,0.000002238911,0.01435185,0.00008023568,0.0007834146,0.04317846,0.0001716306,0.5704253],"study_design_scores_gemma":[0.001961616,0.00003117579,0.9610131,0.0002637845,0.00001416584,0.000001201799,0.007975977,0.001799366,0.001079391,0.01911899,0.006494765,0.0002464984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713143,0.00006222021,0.0003901938,0.001848809,0.0003109103,0.0004640752,0.000004564125,0.00006855535,0.02553642],"genre_scores_gemma":[0.9993737,0.00001452919,0.0002363919,0.00004129519,0.00005188583,0.00006416841,0.00001714513,0.000008523377,0.0001923771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5901862,"threshold_uncertainty_score":0.9992689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466347846648141,"score_gpt":0.4047024120629713,"score_spread":0.2580676273981571,"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."}}