{"id":"W7125570453","doi":"","title":"Project LINQ","year":2025,"lang":"en","type":"article","venue":"Maryland Shared Open Access Repository (USMAI Consortium)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"EPIC; Work (physics); Process (computing); Quarter (Canadian coin); Baseline (sea); Working group","routes":{"ca_aff":false,"ca_fund":false,"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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007144983,0.00027897,0.0004696072,0.0004129265,0.001669341,0.003494755,0.005164295,0.0003936077,0.0003965661],"category_scores_gemma":[0.0005548229,0.0002705025,0.0001199318,0.001294539,0.0005240621,0.002131775,0.002207279,0.0004269137,0.00005907446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456953,"about_ca_system_score_gemma":0.001760597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123103,"about_ca_topic_score_gemma":0.005523275,"domain_scores_codex":[0.9970515,0.0004316287,0.0006015561,0.0008332255,0.000420168,0.0006618935],"domain_scores_gemma":[0.998181,0.0002618868,0.0002630285,0.0008791002,0.0002736328,0.0001413493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000334238,0.0003899287,0.4080695,0.0001274047,0.0003225484,0.0003811628,0.003863108,0.00000562593,0.0009717704,0.01664544,0.5517587,0.01713058],"study_design_scores_gemma":[0.001628497,0.00004742733,0.07435672,0.0002824054,0.0001020047,0.00001585946,0.001569637,0.00004995126,0.004362594,0.002729184,0.9142323,0.0006234582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2040353,0.0006447107,0.0001487782,0.007471152,0.001987583,0.002880326,0.00004370513,0.0008095478,0.7819788],"genre_scores_gemma":[0.8979459,0.0001289258,0.0004998529,0.001616976,0.0002207985,0.0005623383,0.00003678963,0.00003060757,0.09895775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6939106,"threshold_uncertainty_score":0.9999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271739903524729,"score_gpt":0.4088549561070796,"score_spread":0.3561375570718323,"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."}}