{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004302454,0.0004100589,0.0004110856,0.0004149336,0.0007329604,0.0008202791,0.004167679,0.000285558,0.00000599011],"category_scores_gemma":[0.00003686383,0.000354797,0.0001960088,0.002062777,0.0001577761,0.001628077,0.001891336,0.0005586242,0.0006224685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399557,"about_ca_system_score_gemma":0.0001036364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007130963,"about_ca_topic_score_gemma":0.002019555,"domain_scores_codex":[0.9967787,0.0004362251,0.0003755329,0.0009640564,0.0006537646,0.0007917501],"domain_scores_gemma":[0.9970644,0.0005448505,0.0002965007,0.001751247,0.0001247319,0.0002183083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002208788,0.0004900219,0.548895,0.0003459298,0.00125295,0.01239374,0.2035539,0.001053583,0.03165493,0.07438027,0.008916276,0.1168425],"study_design_scores_gemma":[0.00220226,0.0003262496,0.1012378,0.0008801947,0.00009903049,0.000120442,0.005569179,0.00466118,0.02032978,0.003778461,0.8582256,0.002569852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823863,0.0001170993,0.1081684,0.001102456,0.0009828955,0.0005459684,0.00002788614,0.003242251,0.003426832],"genre_scores_gemma":[0.9910392,0.00007527688,0.001133851,0.0004945076,0.0002462005,0.000004571429,0.00001914415,0.00005790182,0.006929328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8493093,"threshold_uncertainty_score":0.9998904,"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."}}