{"id":"W4205730882","doi":"10.1007/1-4020-4078-4_3","title":"Material Selection","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Selection (genetic algorithm); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000005465451,0.0001352505,0.0001009359,0.00004470939,0.00001521174,0.00002531118,0.00004005723,0.0001513725,0.00326216],"category_scores_gemma":[6.044203e-8,0.0001314908,0.00005095232,0.000004616646,0.000005783761,0.00001267792,0.000007715776,0.00009071588,0.0001028356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002738017,"about_ca_system_score_gemma":0.000003077695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001482278,"about_ca_topic_score_gemma":0.00001955006,"domain_scores_codex":[0.9997032,6.274811e-7,0.00008522225,0.0000778477,0.0000601499,0.00007301079],"domain_scores_gemma":[0.9999006,0.000001609468,0.000008054386,0.00006690208,0.000007767802,0.00001500926],"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":[0.00002167014,0.000004072768,0.000006128411,0.0002888944,0.0002861296,0.00003239315,0.00001778247,0.01797737,0.07429615,0.2796025,0.6070351,0.02043179],"study_design_scores_gemma":[0.00005563589,0.00001111739,0.00001740692,0.00001218023,0.00002811097,0.00002254566,1.310728e-7,0.001136433,0.01760771,0.006735902,0.9740804,0.0002923994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001510757,0.0000829257,0.001164799,0.000001581017,0.000649404,0.00004509181,0.0000119007,0.0004025464,0.9974907],"genre_scores_gemma":[0.03973231,0.0000163424,0.000210399,0.000008786315,0.000866927,0.000001239469,0.0001718367,0.0000666653,0.9589255],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3670453,"threshold_uncertainty_score":0.997649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002647682910815124,"score_gpt":0.146404122398118,"score_spread":0.1437564394873028,"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."}}