{"id":"W2006600757","doi":"10.1111/j.1541-0420.2009.01247_7.x","title":"Model Selection and Model Averaging by CLAESKENS, G. and HJORT, N. L.","year":2009,"lang":"en","type":"article","venue":"Biometrics","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Citation; Selection (genetic algorithm); Statistics; Computer science; Mathematics; Mathematical economics; Library 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009873915,0.002565278,0.003439893,0.00244456,0.001810149,0.002677802,0.003316421,0.002273722,0.004753975],"category_scores_gemma":[0.02205493,0.002032764,0.003817294,0.005082713,0.002308504,0.003434125,0.002197615,0.005186607,0.00194309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454822,"about_ca_system_score_gemma":0.00200131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165122,"about_ca_topic_score_gemma":0.01181389,"domain_scores_codex":[0.9953362,0.003186611,0.0002689305,0.0006154641,0.0004578851,0.0001348161],"domain_scores_gemma":[0.9923645,0.005754,0.000256703,0.0007432118,0.0007699824,0.000111559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004661203,0.000174729,0.002395077,0.000914294,0.002524933,0.0004946027,0.0005267795,0.4055711,0.001948423,0.2886969,0.05788897,0.2383981],"study_design_scores_gemma":[0.00005735966,0.0001085929,0.0006925468,0.00009902651,0.0003649194,0.0001441623,0.00004110808,0.7448436,0.001602719,0.2334382,0.01848122,0.0001265642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004786649,0.01484943,0.9739017,0.002534981,0.001884877,0.00007134804,0.0001756706,0.0003978696,0.001397479],"genre_scores_gemma":[0.2189432,0.01829474,0.7322881,0.000954469,0.003761807,0.0006673631,0.001687835,0.00117107,0.0222313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01165122,"threshold_uncertainty_score":0.05221885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05811155343046437,"score_gpt":0.3007435636379627,"score_spread":0.2426320102074983,"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."}}