{"id":"W2064825291","doi":"10.4018/jcini.2010070104","title":"The Cognitive Process of Comprehension","year":2010,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Comprehension; Computer science; Cognition; Process (computing); Cognitive computing; Cognitive science; Cognitive model; Object (grammar); Knowledge representation and reasoning; Representation (politics); Human–computer interaction; Artificial intelligence; Natural language processing; Programming language; 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":[0.002478149,0.0005116435,0.0004136673,0.001335439,0.0009875237,0.005571925,0.001005387,0.002170779,0.007248445],"category_scores_gemma":[0.01177478,0.0002280522,0.0008017248,0.0008980082,0.007197457,0.008480879,0.002417512,0.002072923,0.001649057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373394,"about_ca_system_score_gemma":0.002639946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223253,"about_ca_topic_score_gemma":0.0006861021,"domain_scores_codex":[0.9976539,0.0009548332,0.0001216063,0.0005008588,0.0005861135,0.0001826592],"domain_scores_gemma":[0.9963745,0.002046332,0.0003503781,0.0005144373,0.0005553531,0.0001588892],"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":[0.00003520875,0.00002833109,0.0006716258,0.0002692823,0.00003771933,0.000124544,0.005252789,0.001162164,0.002653478,0.9338707,0.004072985,0.05182112],"study_design_scores_gemma":[0.00001679887,0.0000600173,0.001582326,0.0002141029,0.00002917819,0.000324017,0.0009337306,0.003171251,0.00127633,0.924968,0.06738286,0.00004134503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05880258,0.01912221,0.5435092,0.0192956,0.0008387386,0.0004079185,0.0007259412,0.001068271,0.3562295],"genre_scores_gemma":[0.8470883,0.01010652,0.112775,0.003198035,0.0006385671,0.0004789526,0.0007302944,0.0002032931,0.0247809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007248445,"threshold_uncertainty_score":0.02424842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108947278893417,"score_gpt":0.3045990574725912,"score_spread":0.293509584683657,"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."}}