{"id":"W4298500089","doi":"10.1609/aaai.v24i3.18837","title":"Model AI Assignments","year":2010,"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 British Columbia","funders":"","keywords":"Session (web analytics); Dissemination; Variety (cybernetics); Computer science; Core (optical fiber); Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.001913924,0.0008792267,0.0005950596,0.000961081,0.002302752,0.003402192,0.001859915,0.001222703,0.1595052],"category_scores_gemma":[0.01028,0.0004397985,0.0006589398,0.0008527621,0.0003857673,0.002425237,0.003514094,0.002466535,0.03827495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383917,"about_ca_system_score_gemma":0.002176965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009232189,"about_ca_topic_score_gemma":0.002957415,"domain_scores_codex":[0.9987848,0.0003751983,0.00005279966,0.0002229547,0.0003783849,0.0001859325],"domain_scores_gemma":[0.9956938,0.001022066,0.0002303036,0.0008369166,0.0009694895,0.001247374],"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":[0.0008953433,0.002432101,0.002174379,0.000376158,0.00002788009,0.0002297792,0.002939116,0.007717514,0.006919208,0.04940683,0.5884293,0.3384524],"study_design_scores_gemma":[0.0001231326,0.0005339931,0.001799454,0.00006787969,0.00001420782,0.0001976102,0.000789639,0.01442096,0.00421698,0.02871182,0.9490691,0.00005523877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06159155,0.0004421084,0.1677403,0.004958185,0.003403926,0.002993317,0.005709608,0.01428656,0.7388744],"genre_scores_gemma":[0.2522752,0.0006810579,0.1008548,0.001729927,0.0008230273,0.003113651,0.01046362,0.002294723,0.6277639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1595052,"threshold_uncertainty_score":0.5335981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170238386405799,"score_gpt":0.2948359031720305,"score_spread":0.2631335193079725,"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."}}