{"id":"W568611532","doi":"","title":"Proceedings of the IASTED International Conference on Computational Intelligence, July 4-6, 2005, Calgary, AB, Canada","year":2005,"lang":"en","type":"book","venue":"ACTA Press eBooks","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Regional science; Political science; Library science; Operations research; Geography; 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":[0.001539644,0.001190814,0.001235335,0.001107544,0.001278678,0.004667302,0.001327413,0.0008912159,0.140639],"category_scores_gemma":[0.002513845,0.000408764,0.0004109841,0.001311062,0.0008805391,0.001459269,0.001357465,0.001950529,0.04951731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002736684,"about_ca_system_score_gemma":0.006881617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1528186,"about_ca_topic_score_gemma":0.32779,"domain_scores_codex":[0.9993357,0.0001036199,0.00002089051,0.00006054978,0.0003788189,0.0001003799],"domain_scores_gemma":[0.9983376,0.0002271728,0.00002017413,0.0001456863,0.0009254477,0.0003438217],"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":[0.00009457545,0.000121298,0.0007348176,0.00009042407,0.00001892694,0.00004798924,0.0001320727,0.0006605291,0.0004383338,0.002570331,0.8615113,0.1335794],"study_design_scores_gemma":[0.00003322781,0.0000459826,0.002319161,0.0001788588,0.00003803624,0.0001149985,0.000549979,0.003742587,0.001105177,0.002545073,0.989306,0.00002089129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01636536,0.03700924,0.06325012,0.01876181,0.03290637,0.0004642689,0.005817649,0.005500171,0.8199251],"genre_scores_gemma":[0.02056403,0.01373546,0.01506049,0.0007175978,0.0006222341,0.00009000779,0.005373783,0.0004988632,0.9433376],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1528186,"threshold_uncertainty_score":0.4704843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218132765628658,"score_gpt":0.235306991460769,"score_spread":0.2031256638044824,"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."}}