{"id":"W2966373041","doi":"10.1609/aaai.v33i01.33019751","title":"Model AI Assignments 2019","year":2019,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Variety (cybernetics); Dissemination; Computer science; Artificial intelligence; Core (optical fiber); Multimedia; 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":[0.002755433,0.0008672523,0.0004870113,0.001127495,0.002528563,0.005187517,0.001694313,0.001432736,0.3556424],"category_scores_gemma":[0.006341629,0.0005153037,0.0007618248,0.001007697,0.0004957273,0.002810121,0.004352618,0.002704759,0.1689181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607081,"about_ca_system_score_gemma":0.003096597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858091,"about_ca_topic_score_gemma":0.01039135,"domain_scores_codex":[0.9986639,0.0002701295,0.00006186838,0.0001740377,0.0005956243,0.0002344436],"domain_scores_gemma":[0.996884,0.0004137864,0.0001201506,0.0003633815,0.0009925755,0.001226025],"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":[0.0002079393,0.0002144355,0.0003874307,0.0001076991,0.000006832381,0.00007615231,0.0003258777,0.0005926618,0.001762269,0.01447666,0.914548,0.06729393],"study_design_scores_gemma":[0.00001321792,0.00005173185,0.0004612582,0.00002489124,0.000001586834,0.00003662084,0.00009507396,0.0006546717,0.000568231,0.004181745,0.9938993,0.0000116884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01211695,0.000479955,0.0342302,0.009223787,0.008628683,0.0008449379,0.01177186,0.01031241,0.9123912],"genre_scores_gemma":[0.03662025,0.0004364028,0.01181349,0.001369058,0.0009156913,0.0007006822,0.0150273,0.002316596,0.9308006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3556424,"threshold_uncertainty_score":0.9190978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565795576023379,"score_gpt":0.2770858829021328,"score_spread":0.251427927141899,"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."}}