{"id":"W2155478180","doi":"10.1609/aaai.v27i3.19009","title":"Model AI Assignments 2013","year":2013,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; Variety (cybernetics); Dissemination; Artificial intelligence; Multimedia; Core (optical fiber); World Wide Web; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005167136,0.001102873,0.0007408243,0.001279942,0.002974159,0.006645972,0.002557499,0.001682156,0.3022547],"category_scores_gemma":[0.008860163,0.0006207518,0.001140965,0.001193677,0.0006099159,0.003248136,0.004313592,0.003291194,0.1355724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004046129,"about_ca_system_score_gemma":0.005020981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005902188,"about_ca_topic_score_gemma":0.02009566,"domain_scores_codex":[0.9979826,0.0004129845,0.00007232516,0.0002843394,0.0009516773,0.0002960824],"domain_scores_gemma":[0.9958569,0.0004407566,0.0001038729,0.000514561,0.001366945,0.001717015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001074258,0.0002340712,0.0002438241,0.00006743043,0.000008253248,0.00004000935,0.0001406678,0.0007207026,0.000636737,0.007837419,0.9380495,0.05191396],"study_design_scores_gemma":[0.00002369947,0.00005861057,0.0006964068,0.00004318854,0.000003310532,0.00003390981,0.0001013796,0.001914989,0.0005976354,0.00573302,0.9907741,0.00001979251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01326223,0.001480972,0.06084057,0.01831587,0.01443897,0.0009918144,0.01814914,0.01846736,0.8540531],"genre_scores_gemma":[0.04126768,0.001361808,0.01955153,0.001883887,0.001668102,0.0009036047,0.02335716,0.004212645,0.9057937],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3022547,"threshold_uncertainty_score":0.995249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08977113249345287,"score_gpt":0.2985448085209199,"score_spread":0.208773676027467,"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."}}