{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001588695,0.0002037556,0.0002193129,0.0006958413,0.0002334359,0.00133435,0.0004153231,0.0000965059,0.00002158175],"category_scores_gemma":[0.0001635108,0.0001822667,0.00005661328,0.000117595,0.00003230918,0.005602617,0.00006966275,0.00005098075,0.0001841088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007358692,"about_ca_system_score_gemma":0.00001869332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001281549,"about_ca_topic_score_gemma":0.00000589561,"domain_scores_codex":[0.9985598,0.00004111317,0.0006499427,0.0001883373,0.0003388186,0.0002220244],"domain_scores_gemma":[0.998204,0.0001273047,0.0004559561,0.0002608471,0.0009261647,0.00002573294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003324673,0.00002247281,0.0000251145,0.000644537,0.00006431519,2.227083e-7,0.0001706852,0.0008348,0.00001321536,0.9543669,0.01696572,0.02356737],"study_design_scores_gemma":[0.001047462,0.0001194752,0.0003079789,0.0001215811,0.00003576295,0.000004049442,0.00517601,0.3064304,0.00002229325,0.0006219998,0.6859018,0.0002111496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002448236,0.000006336544,0.9812946,0.001560487,0.001562106,0.001672431,0.0001017319,0.0001556269,0.01119844],"genre_scores_gemma":[0.9948138,0.00002042348,0.0009530311,0.002245229,0.0002839297,0.001005598,0.000547824,0.000009771665,0.0001203895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9923655,"threshold_uncertainty_score":0.9997023,"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."}}