{"id":"W2480336026","doi":"","title":"International Business Potential for Analytics of Room Utilization","year":2015,"lang":"en","type":"dissertation","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ICAR - National Agricultural Science Fund; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Analytics; Business intelligence; Business analytics; Data science; Business; Computer science; Business model; Business analysis; Knowledge management; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004137362,0.000731633,0.0003305102,0.003464994,0.0005574825,0.00528741,0.0006828816,0.0006773892,0.02231052],"category_scores_gemma":[0.01442461,0.0002040731,0.0006878816,0.005500821,0.0004949825,0.005361994,0.001939043,0.0008878498,0.007416632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000980656,"about_ca_system_score_gemma":0.0009088451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209873,"about_ca_topic_score_gemma":0.001256589,"domain_scores_codex":[0.9965922,0.001081808,0.0001731412,0.0004709222,0.001416059,0.000265855],"domain_scores_gemma":[0.9894301,0.005019902,0.001275999,0.001038702,0.002617052,0.0006182289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005282725,0.0004450015,0.2474415,0.0006543357,0.0001077634,0.0004994633,0.002536967,0.00384696,0.004817367,0.03932735,0.07539747,0.6243975],"study_design_scores_gemma":[0.00006709598,0.001151837,0.3856001,0.0009659579,0.0001779509,0.002340669,0.02263564,0.04223556,0.01188784,0.03215602,0.5005772,0.0002041385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4115534,0.003182015,0.03949056,0.01769213,0.0008694656,0.0005475165,0.01344344,0.002751165,0.5104703],"genre_scores_gemma":[0.9327708,0.001709892,0.02551666,0.0006352392,0.0003808409,0.0003742936,0.008546743,0.0002290913,0.0298364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02231052,"threshold_uncertainty_score":0.07463616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09013679032474156,"score_gpt":0.3278533007661768,"score_spread":0.2377165104414352,"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."}}