{"id":"W4388272952","doi":"10.1177/21695067231192925","title":"A new taxonomy to categorize flexible work arrangements for post-covid organizational work planning","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Defence Research and Development Canada","funders":"","keywords":"Categorization; Taxonomy (biology); Autonomy; Flexibility (engineering); Work (physics); Coronavirus disease 2019 (COVID-19); Pandemic; Knowledge management; Computer science; Process management; Management science; Data science; Political science; Business; Management; Artificial intelligence; Engineering; Economics; Ecology; Biology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005720062,0.001072632,0.0005633705,0.01233109,0.004264094,0.006888134,0.002425905,0.002409927,0.005893823],"category_scores_gemma":[0.01301312,0.0003911604,0.001770944,0.00969726,0.006198266,0.01024387,0.004918233,0.002731138,0.001248286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005811418,"about_ca_system_score_gemma":0.008747208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215679,"about_ca_topic_score_gemma":0.01559056,"domain_scores_codex":[0.9942207,0.001968652,0.00109818,0.0005772346,0.001431003,0.0007041667],"domain_scores_gemma":[0.9883385,0.003390873,0.002182954,0.001197965,0.003608339,0.001281393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002033013,0.0004248486,0.07555691,0.001777033,0.00009505963,0.0009983006,0.06688999,0.006277521,0.003616879,0.5611135,0.0260541,0.2569926],"study_design_scores_gemma":[0.0001055308,0.0006089227,0.077528,0.003301429,0.00008967746,0.003196038,0.1439619,0.01917161,0.001074325,0.3144762,0.4361413,0.0003451712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2176264,0.007802053,0.5009751,0.01196673,0.002279459,0.005675205,0.00487616,0.001167695,0.2476312],"genre_scores_gemma":[0.5760913,0.002995776,0.4005505,0.001024491,0.0002106597,0.003290303,0.004435606,0.0001614648,0.01123981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01233109,"threshold_uncertainty_score":0.04216504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04807400657197892,"score_gpt":0.2869078077846011,"score_spread":0.2388338012126222,"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."}}