{"id":"W2914398376","doi":"","title":"Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence","year":2006,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Artificial intelligence; Data science; Political science; Engineering ethics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003586306,0.0001288268,0.0001843719,0.0001425221,0.0001255337,0.00004313446,0.001163555,0.00005364978,0.00001806224],"category_scores_gemma":[0.00009605447,0.0001010301,0.0001360797,0.0006686877,0.0003619049,0.0003636441,0.0001204768,0.0001073618,0.000005365276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391824,"about_ca_system_score_gemma":0.0002548446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002339981,"about_ca_topic_score_gemma":0.02106892,"domain_scores_codex":[0.998459,0.00000777697,0.0006449886,0.0003277314,0.0003363146,0.0002241987],"domain_scores_gemma":[0.9984631,0.0002421693,0.0002501881,0.0001619558,0.0008428723,0.00003969455],"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":[0.000005448826,0.00007978488,0.0005132048,0.00001659094,0.00001179746,5.399526e-8,0.000753639,0.01595748,0.0003972257,0.964374,0.0002243074,0.01766647],"study_design_scores_gemma":[0.00001659894,0.00004964028,0.0004236009,0.00005775806,0.000003782287,9.084856e-7,0.002455674,0.2232749,0.05948767,0.713674,0.0004407199,0.0001146751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02455013,0.0001979269,0.9517216,0.008174746,0.0005162134,0.00111999,0.00004278816,0.00004927067,0.01362734],"genre_scores_gemma":[0.9588735,0.00005616288,0.04068346,0.000147635,0.00004466264,0.00008529073,0.00000327987,0.000005347366,0.0001006454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9343234,"threshold_uncertainty_score":0.996794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08889070112873317,"score_gpt":0.3617653435928429,"score_spread":0.2728746424641098,"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."}}