{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002110852,0.0003375209,0.0003057119,0.0001048013,0.0001440133,0.0001775829,0.002595594,0.0002030635,0.00003373334],"category_scores_gemma":[0.00004079017,0.0002740195,0.00009683619,0.00002764975,0.0001178648,0.0001228952,0.0004678529,0.0007117343,0.000004807302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721445,"about_ca_system_score_gemma":0.002341635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044567,"about_ca_topic_score_gemma":0.005999412,"domain_scores_codex":[0.9976467,0.00002607641,0.0005046295,0.0005128737,0.0009850101,0.0003247201],"domain_scores_gemma":[0.9982682,0.0002598637,0.0005866949,0.0003317414,0.0004417505,0.0001116735],"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":[0.00003225045,0.0000356959,0.00001356258,0.0001193139,0.000189152,0.00001106615,0.001010295,0.002696749,0.00003061342,0.4035828,0.576264,0.01601444],"study_design_scores_gemma":[0.0002117112,0.000069623,0.00008271724,0.001609787,0.00003691385,0.00003688798,0.00001165071,0.1173345,0.0009722433,0.006925779,0.8720847,0.0006234081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003244805,0.00005725626,0.004637512,0.0006234448,0.0008818982,0.0003790391,0.0001157359,0.00008039949,0.9931923],"genre_scores_gemma":[0.05348444,0.00001761299,0.006401709,0.00108698,0.0003689684,0.00003895789,0.00006591203,0.00004618483,0.9384893],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.396657,"threshold_uncertainty_score":0.9999712,"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."}}