{"id":"W3117919098","doi":"10.1111/fare.12530","title":"Family Conflicts and Technology Use: The Voices of Grandmothers","year":2020,"lang":"en","type":"article","venue":"Family Relations","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Grandparent; Embarrassment; Competence (human resources); Nuclear family; Psychology; Information and Communications Technology; Context (archaeology); Developmental psychology; Extended family; Immediate family; Social psychology; Sociology; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001436793,0.00007359247,0.0001232519,0.00009179052,0.0004071965,0.00002514387,0.0002621846,0.0002109178,0.00001387637],"category_scores_gemma":[0.0006167422,0.00005882517,0.00002664347,0.0008368678,0.00115879,0.000161155,0.00005749714,0.0002150151,0.00003351122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001282115,"about_ca_system_score_gemma":0.00007329849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007371992,"about_ca_topic_score_gemma":0.0004980238,"domain_scores_codex":[0.9992694,0.00006994012,0.0001682544,0.000168082,0.0001576645,0.0001666756],"domain_scores_gemma":[0.9993193,0.0002687309,0.00009580143,0.0001679115,0.00009579371,0.0000524315],"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":[0.0000213078,0.00005696331,0.3760472,0.00001641148,0.0001517872,0.000005528373,0.06518174,0.00004997332,0.01055368,0.5212986,0.01751547,0.009101288],"study_design_scores_gemma":[0.0006781548,0.00009284809,0.2798868,0.00003295698,0.00007094227,0.000001122771,0.0251481,0.0002352549,0.0001823542,0.00833232,0.6851403,0.0001988638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370614,0.0009822554,0.0004770727,0.04724605,0.00008897139,0.0003568305,0.00002106967,0.0003417367,0.01342467],"genre_scores_gemma":[0.9979091,0.0002205258,0.0005331025,0.0007146379,0.0000266984,0.00001432834,0.000001629256,0.000008799489,0.0005711842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6676248,"threshold_uncertainty_score":0.4269609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03940803563593029,"score_gpt":0.2791189324531484,"score_spread":0.2397108968172182,"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."}}