{"id":"W2783982841","doi":"10.4018/ijcini.2018010101","title":"Cognitive Informatics","year":2018,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cognitive computing; Computer science; Informatics; Cognition; Cognitive robotics; Field (mathematics); Cognitive science; Artificial intelligence; LIDA; Data science; Cognitive architecture; Embodied cognition; Psychology; Mathematics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006658997,0.0002079748,0.0002507054,0.0004130346,0.0001367574,0.0004340309,0.0009240436,0.00007776187,0.00002403897],"category_scores_gemma":[0.000917613,0.0001676728,0.000120864,0.0003290171,0.0003283938,0.001688492,0.0004461856,0.0005049108,0.00005830834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004021872,"about_ca_system_score_gemma":0.000119201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002622637,"about_ca_topic_score_gemma":0.000002372796,"domain_scores_codex":[0.9977873,0.000047107,0.001101373,0.00009224741,0.0007119938,0.0002599624],"domain_scores_gemma":[0.9922882,0.001099395,0.0009376298,0.0000883611,0.005437483,0.0001488704],"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":[0.0001651513,0.0000610587,0.0004504264,0.00001294751,0.0002722542,0.00003137346,0.009747278,0.00001459477,0.00001125501,0.005303576,0.0003296755,0.9836004],"study_design_scores_gemma":[0.003247312,0.003319249,0.00845938,0.006490381,0.0002022486,0.005442187,0.01791842,0.8869193,0.03237928,0.02662925,0.007350363,0.001642592],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1333036,0.0005225931,0.8595194,0.0001715273,0.002212215,0.0001070068,0.000009867872,0.00003156755,0.004122188],"genre_scores_gemma":[0.9826407,0.0004097853,0.01457594,0.001739365,0.0005585898,0.000001415538,0.00000739936,0.000006441859,0.00006034581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819578,"threshold_uncertainty_score":0.6837498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923639097393936,"score_gpt":0.3104507584282109,"score_spread":0.2912143674542715,"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."}}