{"id":"W4297515751","doi":"","title":"glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Analysis with R","field":"Computer Science","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Selection (genetic algorithm); R package; Computer science; Mathematics; Artificial intelligence; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006821741,0.004162005,0.002860919,0.00362924,0.0007873905,0.003030913,0.004098609,0.001207124,0.07793045],"category_scores_gemma":[0.04032709,0.002161269,0.003539974,0.003278647,0.0008907252,0.002634119,0.003115604,0.00486896,0.05542272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008092738,"about_ca_system_score_gemma":0.003919254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004719668,"about_ca_topic_score_gemma":0.007943294,"domain_scores_codex":[0.9953098,0.002683631,0.000358429,0.0006466306,0.0007977856,0.0002037861],"domain_scores_gemma":[0.9806777,0.01424853,0.001299351,0.002059969,0.001467893,0.0002464838],"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":[0.0003073343,0.0001497856,0.004878785,0.002727224,0.001907534,0.0006894596,0.0004300951,0.04885023,0.003697607,0.04165212,0.6140383,0.2806715],"study_design_scores_gemma":[0.0004558336,0.0001836235,0.005348157,0.0005655942,0.0006622001,0.0008520846,0.000158177,0.2712963,0.00785201,0.1593507,0.5528926,0.0003829044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001223543,0.0005522819,0.8788904,0.0004931717,0.0001889828,0.0002239283,0.02904336,0.08703955,0.002344788],"genre_scores_gemma":[0.01323792,0.0006903997,0.8940255,0.0005169837,0.0001835579,0.002116586,0.03269894,0.05243907,0.004091057],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07793045,"threshold_uncertainty_score":0.2607033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357698296147909,"score_gpt":0.2616525405533713,"score_spread":0.2380755575918922,"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."}}