{"id":"W2465065115","doi":"10.14236/ewic/ndm2009.28","title":"IMAGE: A Computer-Aided Cognition Capability for Understanding Complex Systems","year":2009,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Defence Research and Development Canada","funders":"","keywords":"Computer science; Cognition; Set (abstract data type); Originality; Representation (politics); Comprehension; Human–computer interaction; Data science; Visualization; Cognitive computing; Empirical research; Image (mathematics); Artificial intelligence; 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":[0.001250563,0.0009269905,0.0004585434,0.001980658,0.0003748345,0.00299409,0.00143752,0.0008905386,0.03929811],"category_scores_gemma":[0.006754695,0.0003516219,0.001095294,0.0007906567,0.001072959,0.005266245,0.002792356,0.001164008,0.003885674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004358837,"about_ca_system_score_gemma":0.00065019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489148,"about_ca_topic_score_gemma":0.001197407,"domain_scores_codex":[0.9996948,0.000083455,0.00002396527,0.00008003775,0.00009723345,0.000020462],"domain_scores_gemma":[0.9967057,0.002282567,0.0001481841,0.0004301153,0.0002505569,0.0001829231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006773312,0.000280397,0.004229793,0.002377306,0.0002084003,0.0008145574,0.004557943,0.01240164,0.0501546,0.09807272,0.08314105,0.7430843],"study_design_scores_gemma":[0.0004106896,0.0008135905,0.01267973,0.001377944,0.0005085685,0.004310573,0.002848509,0.2068503,0.04022014,0.2606144,0.4689872,0.0003784013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02703355,0.001013024,0.903932,0.00237743,0.0001852193,0.0005586444,0.002930114,0.02446131,0.03750872],"genre_scores_gemma":[0.1542861,0.001178213,0.8322817,0.0006165298,0.0001186071,0.000667909,0.001718765,0.001660288,0.00747182],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03929811,"threshold_uncertainty_score":0.1314653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05218811282895547,"score_gpt":0.3246837335014053,"score_spread":0.2724956206724498,"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."}}