{"id":"W7034225448","doi":"","title":"Teleworking Across the Border: Insights from Cascadia","year":2023,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); State (computer science); Telecommuting; Digital Revolution; Digital economy; Labor relations","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315994,0.0004361782,0.0003359721,0.001766417,0.01224072,0.007978105,0.001747959,0.001551875,0.01227423],"category_scores_gemma":[0.004890859,0.0002493471,0.0004195403,0.00310793,0.007937491,0.004291255,0.005661577,0.002491797,0.0013999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007240437,"about_ca_system_score_gemma":0.003646486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1160261,"about_ca_topic_score_gemma":0.1956951,"domain_scores_codex":[0.9986911,0.0006722344,0.00002659261,0.0001572914,0.0001458684,0.0003069266],"domain_scores_gemma":[0.996676,0.001314968,0.0002859441,0.0003716041,0.0005485881,0.0008029133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002486777,0.0002631106,0.05503685,0.000407506,0.00006291219,0.008029372,0.6107962,0.002006728,0.0007967897,0.2378319,0.04055111,0.04396896],"study_design_scores_gemma":[0.00003216486,0.00008959967,0.04543029,0.0006245555,0.00005357113,0.0008655743,0.667201,0.0009470491,0.0001663398,0.03872279,0.245805,0.00006205677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.526159,0.002802427,0.002348064,0.03125509,0.0002670285,0.00004826505,0.0002541371,0.0001013015,0.4367647],"genre_scores_gemma":[0.9770458,0.0024322,0.0005734103,0.001387251,0.00004708261,0.00003345079,0.000135907,0.00008495036,0.01825999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.883974,"threshold_uncertainty_score":0.2307014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343242292717387,"score_gpt":0.2678693337666357,"score_spread":0.2444369108394618,"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."}}