{"id":"W2760862211","doi":"10.1515/nor-2017-0396","title":"Maintaining Connections","year":2017,"lang":"en","type":"article","venue":"Nordicom review/NORDICOM review","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Landline; Newspaper; Set (abstract data type); Media use; Power (physics); Psychology; Sociology; Computer science; Internet privacy; Advertising; Media studies; Social psychology; Business; Linguistics; Phone","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004483519,0.0004712184,0.0006167047,0.002006722,0.003162081,0.006098562,0.002086352,0.002207007,0.06195306],"category_scores_gemma":[0.0165912,0.0002737856,0.0004483929,0.002098516,0.004407673,0.01012027,0.007331734,0.002378199,0.01546964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961341,"about_ca_system_score_gemma":0.00389367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862607,"about_ca_topic_score_gemma":0.002212641,"domain_scores_codex":[0.9952,0.002302268,0.0002986509,0.0007274714,0.001038231,0.0004333886],"domain_scores_gemma":[0.9912963,0.00260309,0.001064106,0.001589775,0.002241519,0.001205253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001107553,0.00006870068,0.002861203,0.001717862,0.0001098203,0.001055331,0.02142297,0.000184523,0.0009703311,0.501475,0.1198976,0.3501259],"study_design_scores_gemma":[0.00001400708,0.00004185753,0.0007356809,0.0008259382,0.00003369276,0.0004342829,0.003918095,0.00003492924,0.0001518404,0.03863461,0.9551662,0.000008883784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03050062,0.04281609,0.01857016,0.03944347,0.004268521,0.0003132829,0.0009416959,0.0005168827,0.8626294],"genre_scores_gemma":[0.6732835,0.05823243,0.01180801,0.02032608,0.002957236,0.0006508828,0.001649592,0.0003993558,0.2306928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06195306,"threshold_uncertainty_score":0.2072536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510714136330195,"score_gpt":0.3838901632660479,"score_spread":0.3328187496330284,"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."}}