{"id":"W4283822641","doi":"10.1609/aaai.v36i11.21569","title":"Model AI Assignments 2022","year":2022,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Session (web analytics); Variety (cybernetics); Dissemination; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003618472,0.00008637087,0.00008179806,0.00008915956,0.0004322771,0.000108753,0.001291827,0.00001554562,0.001076911],"category_scores_gemma":[0.00001576564,0.00008889512,0.00004609729,0.0004624423,0.00001774613,0.0005272369,0.00116435,0.0001896394,0.0002848753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371035,"about_ca_system_score_gemma":0.00009692983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006012619,"about_ca_topic_score_gemma":0.000009780026,"domain_scores_codex":[0.9986039,0.0000677807,0.0001693853,0.0003478711,0.0005032769,0.0003077772],"domain_scores_gemma":[0.999255,0.00003167195,0.00003746001,0.0005618209,0.00003542406,0.00007862369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003838965,0.0001468425,0.0001599476,0.000001798743,0.000008364249,0.00003082754,0.0007709119,0.1366097,0.004483908,0.8006827,0.04204679,0.01505432],"study_design_scores_gemma":[0.00003553409,0.00005513281,0.00001058375,4.563716e-7,9.892669e-7,0.000005851404,0.0001574164,0.9167258,0.008840214,0.06336848,0.01067979,0.0001197342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003706714,0.00002783816,0.9566481,0.003330513,0.0003389582,0.000119936,0.000002079809,0.0002172296,0.03560864],"genre_scores_gemma":[0.9537169,0.000002745984,0.020175,0.005839786,0.00002049208,0.00009683627,0.000001684106,0.000009058568,0.02013747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9500102,"threshold_uncertainty_score":0.9998363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123004811097956,"score_gpt":0.2843398882818237,"score_spread":0.2431098401708442,"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."}}