{"id":"W4407046461","doi":"10.1080/19427867.2025.2456364","title":"Understanding work-arrangement choices: factors and implications","year":2025,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Work (physics); Psychology; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645812,0.0002742627,0.0002853647,0.001200591,0.000994153,0.002418798,0.0005996021,0.0004485883,0.006937166],"category_scores_gemma":[0.01047603,0.0002664248,0.0003476952,0.001704553,0.001332756,0.001930026,0.001366286,0.0006471795,0.0004712653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867443,"about_ca_system_score_gemma":0.002211207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09897465,"about_ca_topic_score_gemma":0.1587442,"domain_scores_codex":[0.9986216,0.0006004668,0.00006280293,0.0001798976,0.0001974186,0.0003378582],"domain_scores_gemma":[0.9928761,0.003717795,0.001747818,0.0002641182,0.0004880537,0.0009062401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004485466,0.0001349397,0.983648,0.00002799418,0.0000202106,0.00008380097,0.002881814,0.0004587985,0.000101062,0.001413308,0.0003032838,0.01088196],"study_design_scores_gemma":[0.000003838054,0.00002922296,0.9710557,0.00005044467,0.00001096252,0.00005403403,0.02334995,0.001576295,0.00004765295,0.002693595,0.001119855,0.000008343774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939036,0.0001987717,0.0006988117,0.001159854,0.000004951521,0.00002046666,0.000161169,0.000003105721,0.003849319],"genre_scores_gemma":[0.9992577,0.0001037309,0.0002014066,0.00002928974,0.000004302812,0.000006551138,0.00007052877,0.000001372917,0.0003250433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09897465,"threshold_uncertainty_score":0.1967971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158058883419888,"score_gpt":0.251401733282566,"score_spread":0.1355958449405773,"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."}}