{"id":"W2018535136","doi":"10.1145/2597453.2597455","title":"DEAP","year":2014,"lang":"en","type":"article","venue":"ACM SIGEVOlution","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Python (programming language); Executable; Computer science; Programming language; Evolutionary algorithm; Evolutionary computation; Computation; Software engineering; Theoretical computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758178,0.00006713923,0.00005936135,0.00004681505,0.0001917555,0.00003625654,0.000760661,0.00003994239,0.00001349181],"category_scores_gemma":[0.000113296,0.00006574592,0.00003580919,0.0002745035,0.00002713165,0.0003425672,0.0002096092,0.00006460088,0.0004551009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003891219,"about_ca_system_score_gemma":0.00002307732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002025964,"about_ca_topic_score_gemma":0.000001811527,"domain_scores_codex":[0.9993073,0.00003520685,0.0001130314,0.0002317919,0.000143127,0.0001695076],"domain_scores_gemma":[0.9989878,0.00007974412,0.00004104789,0.0007900593,0.00005586301,0.00004548783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.297727e-7,0.00004393756,0.0004961828,0.000002164344,0.000003173556,2.300824e-7,0.00004411311,0.0002384378,0.001336339,0.9357296,0.004414208,0.05769105],"study_design_scores_gemma":[0.000260018,0.00006728301,0.07707074,0.000007389279,0.000004635766,0.00001319806,0.000006163388,0.3952284,0.0006521319,0.2358148,0.2906419,0.0002333699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007778394,0.0001139221,0.9845712,0.002689541,0.0001737672,0.0000724532,6.51983e-7,0.0002575085,0.004342549],"genre_scores_gemma":[0.8542365,0.00000804248,0.1449291,0.0002545596,0.0001143878,0.00002828013,0.000005226058,0.000004091951,0.0004197984],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8464581,"threshold_uncertainty_score":0.5849553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217340008085344,"score_gpt":0.2369747470227567,"score_spread":0.2248013469419033,"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."}}