{"id":"W1565486756","doi":"","title":"Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers","year":2009,"lang":"en","type":"article","venue":"Genetic and Evolutionary Computation Conference","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Publishing; Computer science; Evolutionary computation; Track (disk drive); Operations research; Political science; Artificial intelligence; Law; Mathematics","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":[0.0001783511,0.00038235,0.000364133,0.0001980958,0.0007542897,0.0001933252,0.0005890073,0.0001625834,0.00001934961],"category_scores_gemma":[0.0000318843,0.0003431331,0.00008403676,0.000614999,0.000463623,0.0004999691,0.0002744832,0.0002960013,0.00001094168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009228443,"about_ca_system_score_gemma":0.0003365662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004371683,"about_ca_topic_score_gemma":0.000003508983,"domain_scores_codex":[0.9973012,0.0001042255,0.0006643602,0.0008575765,0.0006537585,0.0004188824],"domain_scores_gemma":[0.9979195,0.0001539754,0.0004538499,0.0002558587,0.001016251,0.0002005694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001520186,0.001218789,0.02575281,0.0002890092,0.0001709691,0.00001211982,0.00899677,0.09862134,0.00854966,0.4726034,0.006068591,0.3775645],"study_design_scores_gemma":[0.0004601879,0.0002280365,0.5574127,0.0001178595,0.00002085408,0.00009407972,0.0002344774,0.3952445,0.00003332683,0.04564288,0.0002475496,0.0002636233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6831859,0.0006399578,0.3076694,0.004562094,0.0002610184,0.0008619779,0.00006556758,0.0001947929,0.002559339],"genre_scores_gemma":[0.941892,0.0002296716,0.05725472,0.000314586,0.00008195055,0.0000320842,0.00002954237,0.00001237054,0.0001530511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5316598,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481196157601875,"score_gpt":0.2366278524168018,"score_spread":0.221815890840783,"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."}}