{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003121195,0.001158486,0.001205487,0.002695947,0.002765762,0.00779477,0.00194782,0.001197809,0.0761979],"category_scores_gemma":[0.004480189,0.0005439433,0.0007666601,0.003122313,0.002697198,0.002932989,0.002246982,0.002456922,0.01883805],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01586351,"about_ca_system_score_gemma":0.03967616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7296612,"about_ca_topic_score_gemma":0.8522301,"domain_scores_codex":[0.9981982,0.0001704462,0.00008394326,0.0001477123,0.001159594,0.000240202],"domain_scores_gemma":[0.9956589,0.0003745564,0.0000545604,0.0003535951,0.003045906,0.0005125043],"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":[0.00009539851,0.00008603837,0.001551299,0.0003444763,0.00005821464,0.00006508406,0.0003604529,0.0008342096,0.001041059,0.02067002,0.7884281,0.1864657],"study_design_scores_gemma":[0.00001361535,0.00001628404,0.002708555,0.0001687988,0.00004196587,0.00006656073,0.000402873,0.001455633,0.0007645477,0.005912073,0.988421,0.00002822199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01262612,0.1279306,0.04191863,0.04558466,0.02760346,0.0004369365,0.0077545,0.00296212,0.733183],"genre_scores_gemma":[0.04928254,0.08397617,0.03709092,0.001680732,0.001361324,0.000104097,0.008286678,0.0007317792,0.8174858],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9841365,"threshold_uncertainty_score":0.5438617,"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."}}