{"id":"W7133022785","doi":"","title":"Selection theorems","year":2012,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Feature selection; Set (abstract data type); Calculus (dental)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00379453,0.001396408,0.001824305,0.002577962,0.003582438,0.004175031,0.002544089,0.001571726,0.09036507],"category_scores_gemma":[0.01828927,0.0007114618,0.00263712,0.003867192,0.002384437,0.008555511,0.003217241,0.005710871,0.02065017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561602,"about_ca_system_score_gemma":0.001958783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900882,"about_ca_topic_score_gemma":0.001861303,"domain_scores_codex":[0.9962124,0.001306421,0.0001788509,0.000811141,0.00100259,0.000488695],"domain_scores_gemma":[0.9904447,0.006495166,0.0003555383,0.001034353,0.001252858,0.0004174869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005092164,0.00003077416,0.0005115332,0.0001273742,0.00003360224,0.00007702487,0.0001227232,0.0005406715,0.0001981885,0.9343318,0.04456608,0.0194093],"study_design_scores_gemma":[0.00006377537,0.00002053595,0.0003827249,0.00004859498,0.00004013434,0.0002150552,0.00005957781,0.003381943,0.0003878764,0.948532,0.04685413,0.00001361474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01208471,0.002316711,0.367484,0.01117766,0.001140432,0.000200626,0.003205551,0.0009609249,0.6014293],"genre_scores_gemma":[0.388492,0.006645692,0.09798304,0.009401921,0.005190345,0.001480571,0.008056032,0.003292403,0.479458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09036507,"threshold_uncertainty_score":0.3023013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769799590473297,"score_gpt":0.3268219910002104,"score_spread":0.3091239950954774,"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."}}