{"id":"W2119286300","doi":"10.1109/coginf.2006.365667","title":"Towards Cognitive Machines: Multiscale Measures and Analysis","year":2006,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognition; Computer science; Cognitive computing; Wearable computer; Perception; Cognitive ergonomics; Cognitive science; Human–machine system; Human–computer interaction; Artificial intelligence; Data science; Psychology","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":[0.003708192,0.001119914,0.001093394,0.005001245,0.0007843281,0.004949267,0.001299578,0.001714302,0.001895801],"category_scores_gemma":[0.01742451,0.0006379754,0.00116907,0.002217816,0.007463634,0.008599308,0.003008421,0.002886581,0.0003513036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774844,"about_ca_system_score_gemma":0.0006433688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338647,"about_ca_topic_score_gemma":0.0005536964,"domain_scores_codex":[0.9978172,0.0008901927,0.0001289881,0.0004358697,0.0005735981,0.0001542934],"domain_scores_gemma":[0.9924036,0.004305713,0.001202655,0.0008725687,0.0007542751,0.0004611765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001836475,0.00002182258,0.001079174,0.0001149733,0.00004848518,0.00005307868,0.0005417695,0.008024136,0.001292876,0.9685472,0.0007156156,0.01954239],"study_design_scores_gemma":[0.000003027994,0.00001732241,0.0008289447,0.00002317218,0.000006867659,0.00003429918,0.00009665624,0.03355236,0.0001746847,0.9631011,0.002147133,0.00001432986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04132628,0.005336239,0.9396064,0.002071577,0.0001561704,0.00007279753,0.0001493146,0.0002552895,0.01102588],"genre_scores_gemma":[0.6870947,0.003877014,0.3045684,0.0004626701,0.0007489558,0.0003687774,0.0001734858,0.0001212531,0.002584732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005001245,"threshold_uncertainty_score":0.01961106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247505114923197,"score_gpt":0.2454000382742526,"score_spread":0.2329249871250206,"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."}}