{"id":"W2598381280","doi":"10.1145/3066862.3066867","title":"Fun and games at IEEE WCCI 2016, Vancouver, Canada","year":2017,"lang":"en","type":"article","venue":"ACM SIGEVOlution","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Champion; Competition (biology); Artificial intelligence; Media studies; Psychology; Operations research; Computer science; Sociology; Engineering; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0001653808,0.0001049667,0.0001048322,0.00003265604,0.0006122094,0.0001104818,0.0009341587,0.00005094443,0.000003324105],"category_scores_gemma":[0.0008652559,0.00009880806,0.00001868481,0.00003925497,0.0000605848,0.0003513187,0.0005499814,0.00007601913,0.000006987623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001875517,"about_ca_system_score_gemma":0.0002130852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2713554,"about_ca_topic_score_gemma":0.2591915,"domain_scores_codex":[0.9991582,0.00002338639,0.0001094706,0.0002925418,0.0001933255,0.0002230808],"domain_scores_gemma":[0.9982402,0.0001722902,0.0001282117,0.001331771,0.00006142603,0.0000660628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000003223625,0.000008692675,0.02600752,0.000009441751,0.000005668116,0.00001371576,0.00006129192,0.000006424819,0.0002278555,0.0002946516,0.9292007,0.04416082],"study_design_scores_gemma":[0.001230112,0.000322141,0.5410993,0.0003585374,0.00003833085,0.0001126373,0.0000127616,0.06192447,0.01034933,0.1732557,0.2097474,0.001549303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173448,0.003520904,0.3439507,0.004157144,0.01209604,0.0005885566,0.00002087018,0.01286207,0.005458876],"genre_scores_gemma":[0.9636424,0.00003265796,0.03427019,0.000191514,0.00006871297,0.00000980007,8.660656e-7,0.000006971922,0.001776852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7194533,"threshold_uncertainty_score":0.7543263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792999271459144,"score_gpt":0.2413356141495618,"score_spread":0.2234056214349703,"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."}}