{"id":"W7045119992","doi":"","title":"Advances in artificial intelligence 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 - June 2, 2010 : proceedings","year":2010,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Applications of artificial intelligence; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009199547,0.0006595243,0.00053085,0.00135751,0.0008441163,0.0008115396,0.003546328,0.0004358735,0.001087379],"category_scores_gemma":[0.0004031432,0.0006868743,0.0001077507,0.002616763,0.0004761696,0.001603168,0.0001802708,0.00171925,0.001473634],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034416,"about_ca_system_score_gemma":0.01101751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957898,"about_ca_topic_score_gemma":0.9999858,"domain_scores_codex":[0.9940342,0.00004567641,0.001439965,0.00158576,0.0008363815,0.002058025],"domain_scores_gemma":[0.9954969,0.0002032902,0.0002670909,0.001222703,0.0008159695,0.001994038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008086827,0.00008233785,0.0004913281,0.000009240966,0.000006370403,0.00004040938,0.0004688926,0.0003265161,0.000727571,0.8790439,0.01287901,0.1059163],"study_design_scores_gemma":[0.0000429496,0.0002194817,0.002096136,0.0001260797,0.00002245384,0.00006990897,0.002582748,0.1962293,0.1055962,0.4666118,0.2236289,0.002774052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05213872,0.0001963624,0.3184168,0.3179635,0.02692538,0.006434601,0.0004209759,0.001043852,0.2764599],"genre_scores_gemma":[0.986888,0.00004428543,0.007060046,0.003326322,0.0003466846,0.0002467198,0.0000242932,0.00004722607,0.002016433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9347492,"threshold_uncertainty_score":0.9998258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497620056949103,"score_gpt":0.2861129462269458,"score_spread":0.2511367456574548,"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."}}