{"id":"W2511515571","doi":"10.1108/jcre-10-2015-0030","title":"Public spaces as workplace for mobile knowledge workers","year":2016,"lang":"en","type":"article","venue":"Journal of Corporate Real Estate","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Work (physics); Public relations; Anticipation (artificial intelligence); Knowledge management; Public space; The Internet; Space (punctuation); Business; Computer science; Political science; Engineering; World Wide Web; Architectural engineering","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":[0.00184083,0.0003448451,0.0004287912,0.002193577,0.002263689,0.00746129,0.001072083,0.001631677,0.00825718],"category_scores_gemma":[0.005238322,0.0002984327,0.0007960397,0.002088454,0.003497345,0.006473385,0.00443717,0.001217841,0.001047657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536701,"about_ca_system_score_gemma":0.004599471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0039546,"about_ca_topic_score_gemma":0.006282464,"domain_scores_codex":[0.9971693,0.001434621,0.0002090855,0.0002645782,0.0005385817,0.0003838401],"domain_scores_gemma":[0.9946114,0.002614136,0.001542533,0.0001919931,0.0006777858,0.0003622197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002571342,0.0003223122,0.03818098,0.03576258,0.0002245651,0.003402778,0.1085702,0.0007629198,0.002136585,0.1589439,0.01994127,0.6314948],"study_design_scores_gemma":[0.00002594564,0.0003098251,0.0484051,0.03769016,0.0003737959,0.003932314,0.2274498,0.0003584593,0.0009643998,0.02720787,0.6531686,0.0001136113],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1947725,0.613123,0.01422689,0.02128043,0.002796052,0.000343447,0.0004857517,0.0001613553,0.1528105],"genre_scores_gemma":[0.7927725,0.1867604,0.006738999,0.00285058,0.0008741354,0.0003200673,0.0001748575,0.00004993948,0.009458434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00825718,"threshold_uncertainty_score":0.027623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07350017970051874,"score_gpt":0.3190729070640488,"score_spread":0.2455727273635301,"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."}}