{"id":"W2184111294","doi":"","title":"An Ontology for Contextual Information System Design","year":2014,"lang":"en","type":"article","venue":"International Conference on Information Systems for Crisis Response and Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Teamwork; Computer science; Ontology; Context (archaeology); Human–computer interaction; Think aloud protocol; Knowledge management; Contextual design; Collaborative software; Artificial intelligence","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":[0.01088257,0.001363481,0.001184306,0.006545767,0.004351095,0.01208386,0.003411717,0.003583102,0.004565206],"category_scores_gemma":[0.0125763,0.001975029,0.00409042,0.007979508,0.008046988,0.01380194,0.005881518,0.005686265,0.001264093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005205105,"about_ca_system_score_gemma":0.008822902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01916096,"about_ca_topic_score_gemma":0.01440799,"domain_scores_codex":[0.9884409,0.005774011,0.001979864,0.001120019,0.00205453,0.0006306256],"domain_scores_gemma":[0.9921982,0.003773944,0.0006064158,0.001512664,0.001472719,0.0004360971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001583134,0.00004563573,0.000388922,0.0003036523,0.00003920982,0.0003485753,0.004780012,0.003649738,0.000933915,0.9599974,0.003652654,0.02584448],"study_design_scores_gemma":[0.00003758352,0.00004419974,0.0004399567,0.0007581519,0.00009374859,0.0008032087,0.004916312,0.02374234,0.001627647,0.5088146,0.4586307,0.00009155753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002005462,0.0009422864,0.9742208,0.00303655,0.0002221395,0.0005577535,0.0005747359,0.0005307954,0.01790946],"genre_scores_gemma":[0.03804421,0.001356881,0.9536968,0.0004832615,0.00008789644,0.001259557,0.001003684,0.0002058231,0.003861912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01916096,"threshold_uncertainty_score":0.05755323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08271816883773905,"score_gpt":0.3162221135129168,"score_spread":0.2335039446751778,"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."}}