{"id":"W162685467","doi":"","title":"From Foundations to Current Work in a One Quarter Course on Artificial Intelligence","year":2008,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Course (navigation); Quarter (Canadian coin); Artificial intelligence; Computer science; Knowledge representation and reasoning; Work (physics); Cognitive science; Data science; Engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001157712,0.0001070243,0.0001273526,0.0000986616,0.0001057048,0.00008543346,0.0004986608,0.00003550011,0.0001644249],"category_scores_gemma":[0.00004995941,0.00009328788,0.00004173813,0.0006044584,0.00003626844,0.0001622254,0.00009944308,0.0001366236,0.002623561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005237333,"about_ca_system_score_gemma":0.00008671439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001098745,"about_ca_topic_score_gemma":0.0003931561,"domain_scores_codex":[0.9989347,0.00004513673,0.0002174882,0.0003680025,0.0001952336,0.0002393652],"domain_scores_gemma":[0.9992659,0.0001333338,0.00003198475,0.000399238,0.00005356022,0.0001160005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004806627,0.00219666,0.004588803,0.0000032575,0.00001598024,0.0000329402,0.02390916,0.0004147669,0.00006485792,0.4218707,0.0156527,0.5312021],"study_design_scores_gemma":[0.0009964284,0.001956407,0.3759989,0.0007960626,0.00004094676,0.00002245786,0.001730904,0.1208682,0.01040447,0.4168546,0.06687384,0.003456784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1001616,0.0000665542,0.8890688,0.00187928,0.0009386335,0.0001858172,0.000001280829,0.0001190681,0.007578957],"genre_scores_gemma":[0.9844732,0.000009299045,0.0147765,0.0002361955,0.0002524243,0.0000253725,0.000003051918,0.000004096155,0.0002199241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8843116,"threshold_uncertainty_score":0.998153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09823557903079075,"score_gpt":0.3173524758119416,"score_spread":0.2191168967811509,"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."}}