{"id":"W2924745500","doi":"","title":"Older audiences in the digital media environment: A cross-national longitudinal study. Wave 2 Report v1.0","year":2019,"lang":"en","type":"book","venue":"Utrecht University Repository (Utrecht University)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ben-Gurion University of the Negev; Jyväskylän Yliopisto; Karl-Franzens-Universität Graz; Social Sciences and Humanities Research Council of Canada; Universitat Oberta de Catalunya; Concordia University","keywords":"The Internet; Sample (material); Data collection; Longitudinal study; Population; Geography; Demography; Sociology; Computer science; Statistics; Social science; World Wide Web; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.003876013,0.0003745113,0.0005394503,0.0009974844,0.00253199,0.001646136,0.0007203707,0.001136099,0.002247348],"category_scores_gemma":[0.004204744,0.001191584,0.0008113566,0.001614666,0.000333672,0.002717366,0.001836537,0.003047242,0.001506571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000948577,"about_ca_system_score_gemma":0.001367356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04205599,"about_ca_topic_score_gemma":0.08695666,"domain_scores_codex":[0.999204,0.0002259592,0.0001042183,0.0001366774,0.0001969916,0.0001321144],"domain_scores_gemma":[0.9978663,0.0002027857,0.0005353556,0.0002606359,0.0006668082,0.0004680976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001857845,0.001076473,0.972141,0.0001319164,0.0001535811,0.0002718284,0.01224167,0.0000352459,0.0005064699,0.0002934086,0.005467578,0.00749497],"study_design_scores_gemma":[0.00005300791,0.0004448652,0.9835397,0.0001389731,0.0001031093,0.0003778005,0.01040248,0.0001427722,0.00009260645,0.0001442276,0.004528095,0.00003235355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920643,0.0005562508,0.0004177531,0.0003939991,0.00003726266,0.0002785562,0.005134975,0.00001116001,0.00110582],"genre_scores_gemma":[0.9789705,0.001180854,0.002222,0.001336097,0.00004464834,0.00192727,0.01080684,0.00002791726,0.00348383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04205599,"threshold_uncertainty_score":0.0836224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571003259643865,"score_gpt":0.2369121474438405,"score_spread":0.2112021148474019,"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."}}