{"id":"W2153633022","doi":"10.1109/pacrim.2001.953560","title":"Modeling online instruction knowledge using Petri nets","year":2002,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Petri net; Computer science; Knowledge base; Knowledge acquisition; Training (meteorology); Knowledge-based systems; Software engineering; Human–computer interaction; Artificial intelligence; Programming language","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":[0.0002410662,0.0001624245,0.0001824007,0.0002881565,0.0001766472,0.000153409,0.0007065905,0.00008680733,0.00004528119],"category_scores_gemma":[0.00003747824,0.0001556539,0.00006710507,0.0008389123,0.00001516376,0.0008456607,0.0002981439,0.0001597084,0.0001044234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486705,"about_ca_system_score_gemma":0.00002909953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006796506,"about_ca_topic_score_gemma":0.00002106588,"domain_scores_codex":[0.9984958,0.00006684373,0.0003822664,0.0004512001,0.0002707785,0.0003331418],"domain_scores_gemma":[0.9990616,0.00003037175,0.00005962577,0.0005972696,0.0001470985,0.0001040583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000185195,0.0001848193,0.0001145159,0.00003364095,0.0000213039,0.00001302071,0.001183564,0.8801869,0.003009358,0.007952614,0.0002256066,0.1070729],"study_design_scores_gemma":[0.000280651,0.0000147828,0.000003772107,0.00004417525,0.000003416222,0.0001532038,0.0000397684,0.9982799,0.0002034241,0.0003040506,0.0004810108,0.0001917893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1624803,0.0006169151,0.8300213,0.00007281978,0.0009810484,0.0001041834,7.491926e-7,0.0002836357,0.005439051],"genre_scores_gemma":[0.7526488,0.00001772505,0.246717,0.00005682334,0.0001922856,0.000002739382,7.482067e-7,0.00001175702,0.0003521483],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5901684,"threshold_uncertainty_score":0.6347381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094205396399927,"score_gpt":0.2948246198926876,"score_spread":0.1854040802526949,"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."}}