{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000196297,0.00008089548,0.00006699875,0.00005299605,0.0001000749,0.0001768348,0.0009107683,0.00005327888,0.0001564432],"category_scores_gemma":[0.0000391518,0.00007009032,0.00003283978,0.0001829925,0.00003271009,0.0007795396,0.000215534,0.0001892933,0.001052502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001312308,"about_ca_system_score_gemma":0.00005839402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004402397,"about_ca_topic_score_gemma":0.00008798415,"domain_scores_codex":[0.9991046,0.00001104423,0.0001355794,0.0002662815,0.0002190286,0.0002635023],"domain_scores_gemma":[0.9991755,0.00002798339,0.00002480675,0.0005998361,0.00006738877,0.0001045257],"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":[7.387564e-7,0.00004883745,0.0002098654,0.000001101632,0.000002726587,0.000005321651,0.0002074013,0.001198222,0.05256344,0.9243473,0.004481411,0.01693363],"study_design_scores_gemma":[0.00002226362,0.00001283809,0.00004385627,8.870488e-7,6.206713e-7,0.000002780588,0.00001034031,0.8006378,0.1089792,0.0875527,0.002643234,0.00009352541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01815845,0.000002063085,0.9186436,0.002146265,0.000392852,0.00006926919,2.561356e-7,0.0002099654,0.06037731],"genre_scores_gemma":[0.8748935,8.370739e-7,0.1177124,0.002022549,0.00003521172,0.000009061893,2.455033e-7,0.000005120017,0.005321105],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8567351,"threshold_uncertainty_score":0.9997253,"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."}}