{"id":"W265402423","doi":"10.1007/978-3-642-13059-5","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":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Applications of artificial intelligence; Artificial intelligence; Operations research; Computer science; Engineering","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":[0.0030433,0.001340518,0.001436565,0.002728724,0.002740599,0.007506643,0.00198413,0.001280447,0.07924797],"category_scores_gemma":[0.00423906,0.0006412929,0.0007678574,0.00365509,0.002720868,0.003167421,0.002121372,0.002907831,0.02003447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01598401,"about_ca_system_score_gemma":0.0435681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7232433,"about_ca_topic_score_gemma":0.8531615,"domain_scores_codex":[0.9983923,0.0001324394,0.0000745585,0.0001423691,0.001046215,0.0002122217],"domain_scores_gemma":[0.9955342,0.0003951569,0.00006529506,0.0003172078,0.003112826,0.0005754482],"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":[0.00009001789,0.00007059698,0.001089033,0.0003653252,0.00004638269,0.00005093248,0.0002485161,0.0006609047,0.0008017746,0.01103767,0.852261,0.1332779],"study_design_scores_gemma":[0.00001672833,0.00001808914,0.002959209,0.0002141672,0.00004845704,0.00006442637,0.0003990566,0.001433248,0.001010819,0.004397542,0.9894057,0.00003267558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01216673,0.2001123,0.03679972,0.04673801,0.03749323,0.0004905036,0.01160584,0.003363215,0.6512303],"genre_scores_gemma":[0.04000253,0.111982,0.0256547,0.001742542,0.001558053,0.000106866,0.009158883,0.000936215,0.8088583],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2767567,"threshold_uncertainty_score":0.5567731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479427784948377,"score_gpt":0.2856355404900381,"score_spread":0.2508412626405543,"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."}}