{"id":"W4394597663","doi":"10.1109/csce60160.2023.00087","title":"Cognitive Cluster Identification","year":2023,"lang":"en","type":"article","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Identification (biology); Cluster (spacecraft); Artificial intelligence; Computer network","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003371676,0.00003885191,0.00003512256,0.0001255222,0.00009641473,0.0001430036,0.0002758041,0.00001343462,0.00002364716],"category_scores_gemma":[0.00009491609,0.00003375975,0.00002243457,0.0009475168,0.00002549976,0.0005941904,0.0001848906,0.00003006389,0.003913836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006168582,"about_ca_system_score_gemma":0.00002027196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004623442,"about_ca_topic_score_gemma":0.000003879461,"domain_scores_codex":[0.9993719,0.00001932553,0.00008193867,0.0002204163,0.00015461,0.0001518083],"domain_scores_gemma":[0.9996297,0.00009153639,0.00002115998,0.000126384,0.00009613804,0.00003505067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002944156,0.00003642385,0.001367257,0.00001059524,0.00001376382,0.00001914235,0.003019879,0.00001220428,0.01073039,0.1401003,0.02278719,0.8219],"study_design_scores_gemma":[0.00118681,0.00009803888,0.3604304,0.0000905169,0.00001338064,0.00002723295,0.002797998,0.4811876,0.05047496,0.08620938,0.01667653,0.0008071124],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02962959,0.000003867029,0.935033,0.002416423,0.0002992607,0.0001048414,6.934325e-7,0.0004790032,0.03203337],"genre_scores_gemma":[0.9910532,0.000005278624,0.0006518854,0.0009850246,0.00002688231,0.00001475429,0.000003112204,0.000001708585,0.007258164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9614236,"threshold_uncertainty_score":0.9968618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040114019199522,"score_gpt":0.3049783469277096,"score_spread":0.2648643277281876,"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."}}