{"id":"W2264573896","doi":"10.1016/j.is.2013.01.004","title":"Forward to the special issue on vocabularies, ontologies and rules for the enterprise","year":2013,"lang":"en","type":"article","venue":"Information Systems","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Information retrieval; Data science; Knowledge management","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":[0.007369379,0.001358686,0.002782076,0.003667827,0.003033806,0.013567,0.002772989,0.0100677,0.03845043],"category_scores_gemma":[0.01822269,0.0008996332,0.001942074,0.002914993,0.003547764,0.01560687,0.004459363,0.02101902,0.01738144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252303,"about_ca_system_score_gemma":0.003825412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216379,"about_ca_topic_score_gemma":0.005684559,"domain_scores_codex":[0.9964102,0.0008612201,0.0004985784,0.0005143171,0.001405077,0.0003106794],"domain_scores_gemma":[0.9782124,0.009677382,0.001710827,0.001952622,0.00589868,0.002547991],"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":[0.00001209744,0.00001989512,0.00007510703,0.0001057481,0.00001058078,0.00005221315,0.00004444121,0.00003148233,0.00008639301,0.004498815,0.9829044,0.01215895],"study_design_scores_gemma":[0.000006018879,0.00001428626,0.0001704963,0.0001728294,0.00001111062,0.0001057899,0.00009782401,0.0001171095,0.00006130362,0.006057019,0.9931716,0.00001471657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002061281,0.01475331,0.003799342,0.1495522,0.8219111,0.00004222889,0.0001899767,0.0001741252,0.009371527],"genre_scores_gemma":[0.00148655,0.01190116,0.002793823,0.0437197,0.8959339,0.00007110424,0.0004657783,0.0004556708,0.04317227],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03845043,"threshold_uncertainty_score":0.1286296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138345871581229,"score_gpt":0.2225070611590267,"score_spread":0.2111236024432144,"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."}}