{"id":"W4292074484","doi":"10.1007/978-3-031-08180-4_5","title":"Concluding Thoughts, Limitations, and Implications for Future Research","year":2022,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in business","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Cloud computing; Coronavirus disease 2019 (COVID-19); Studio; Architecture; Workspace; Engineering; Architectural engineering; History; Political science; Computer science; Telecommunications; Mechanical engineering; Artificial intelligence; Archaeology","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":[0.0009015239,0.0002603706,0.0003377212,0.0005034664,0.0004750694,0.00008466419,0.0003313595,0.0002466118,0.0008027893],"category_scores_gemma":[0.00008180258,0.0002904561,0.00006859527,0.0002396107,0.0001968759,0.00007169137,0.0004440398,0.000591376,0.00003569798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263302,"about_ca_system_score_gemma":0.00006782842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009581377,"about_ca_topic_score_gemma":0.0002392711,"domain_scores_codex":[0.9981922,0.00005576254,0.0003826768,0.0006976053,0.0002232025,0.0004485403],"domain_scores_gemma":[0.9982798,0.00062039,0.0001183552,0.0006657948,0.0002579214,0.00005769977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005756296,0.00002822118,0.0001854568,0.0001929929,0.000064077,0.000009179888,0.0008031973,0.00001340162,0.000001963567,0.9380323,0.02533579,0.03527589],"study_design_scores_gemma":[0.0004278553,0.00003498858,0.01264231,0.0001023468,0.00002651753,0.00000586999,0.0008908243,0.000002236575,3.107271e-7,0.0270638,0.958525,0.0002779242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004013002,0.01719913,0.0003738012,0.03377974,0.003039571,0.002482923,0.0004121589,0.0001169741,0.9421944],"genre_scores_gemma":[0.003410159,0.006934368,0.0009955941,0.0004122315,0.001824997,0.00175731,0.0003386377,0.0001550053,0.9841717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9331892,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1824720995997053,"score_gpt":0.3778712024865712,"score_spread":0.1953991028868659,"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."}}