{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000631824,0.0006992421,0.0008461891,0.001854025,0.0002195544,0.0006381645,0.001422727,0.0006679447,0.001882106],"category_scores_gemma":[0.0008483325,0.0006995184,0.000318721,0.002316571,0.00007783758,0.00193301,0.0002461351,0.0003029284,0.0004272815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073485,"about_ca_system_score_gemma":0.0002309261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005356497,"about_ca_topic_score_gemma":0.0005951313,"domain_scores_codex":[0.9961337,0.00001875198,0.001226353,0.0008981053,0.001183058,0.0005400578],"domain_scores_gemma":[0.9927862,0.00006465091,0.001609731,0.0007323948,0.004762258,0.00004477494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004548395,0.002746785,0.00354601,0.02104466,0.001849065,0.0001167688,0.0005441583,0.006900107,0.01209316,0.03468102,0.5856846,0.3262453],"study_design_scores_gemma":[0.003544291,0.00007859143,0.04009043,0.002189182,0.002159242,0.00002145101,0.001617783,0.0606659,0.001582496,0.0146837,0.8701941,0.003172786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2445808,0.004496149,0.2511238,0.002409161,0.08555472,0.009787753,0.006716016,0.001223749,0.3941078],"genre_scores_gemma":[0.894172,0.0005820434,0.00113676,0.0004335105,0.009412492,0.0002154622,0.06563026,0.000342974,0.02807454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6495912,"threshold_uncertainty_score":0.9995456,"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."}}