{"id":"W2230600954","doi":"10.5281/zenodo.50020","title":"SpaDES: v1.1.3","year":2016,"lang":"en","type":"article","venue":"INFM-OAR (INFN Catania)","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Canadian Forest Service","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001742735,0.0001477345,0.0001296213,0.00007928261,0.0001995828,0.00008459898,0.001067426,0.00007445014,0.0001067506],"category_scores_gemma":[0.00004605258,0.0001089691,0.00007215922,0.0003843938,0.00009374311,0.0006813416,0.0002859233,0.00009260812,0.002494118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000827215,"about_ca_system_score_gemma":0.0001175821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004032845,"about_ca_topic_score_gemma":0.00001482869,"domain_scores_codex":[0.9986773,0.00002657057,0.0002415984,0.000430995,0.0002831453,0.0003403585],"domain_scores_gemma":[0.9985455,0.0001395047,0.00008422251,0.0009713555,0.000103483,0.0001559644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005154124,0.0002097082,0.001921772,0.0000139705,0.00003959172,0.00003068318,0.0005048705,0.00002477894,0.01780071,0.7261411,0.05795269,0.195355],"study_design_scores_gemma":[0.0008807801,0.0001278429,0.01972213,0.0000744661,0.0000128367,0.0001280099,0.00004030974,0.005026171,0.006598691,0.04582798,0.920868,0.0006928241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03167604,0.0004622936,0.9283898,0.02289285,0.0007085849,0.0004014696,0.00007214301,0.0008466043,0.01455021],"genre_scores_gemma":[0.9097683,0.0001299168,0.08286943,0.001169322,0.0005168128,0.0001321234,0.00001031718,0.000026674,0.005377126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8780922,"threshold_uncertainty_score":0.9982826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512043878744568,"score_gpt":0.2403209751858808,"score_spread":0.2252005363984351,"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."}}