{"id":"W2994791542","doi":"10.1007/978-3-319-21840-3","title":"Algorithms and Data Structures","year":2015,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Carleton University","funders":"","keywords":"Computer science; Algorithm","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":[0.001088461,0.001523574,0.001641169,0.002112919,0.0008895429,0.004690913,0.002067548,0.001332959,0.03685845],"category_scores_gemma":[0.004942587,0.0009723078,0.001259304,0.00497536,0.001560333,0.005653933,0.0026667,0.003370322,0.03618237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969122,"about_ca_system_score_gemma":0.001307561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005666882,"about_ca_topic_score_gemma":0.0005354961,"domain_scores_codex":[0.9984607,0.0002402102,0.0001465618,0.0003913176,0.0006942938,0.00006700489],"domain_scores_gemma":[0.9982951,0.0005668317,0.00004976955,0.0008117664,0.0002355093,0.0000409819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003913489,0.0000446643,0.0001593359,0.0004734094,0.00004334999,0.00003792776,0.00009051809,0.004639866,0.001404582,0.2855565,0.08879801,0.6187126],"study_design_scores_gemma":[0.0000196472,0.00002892011,0.0001895169,0.0001670058,0.00002805277,0.0002246774,0.00003701134,0.02238872,0.00243569,0.687986,0.2864728,0.00002187949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001563418,0.01283879,0.9080136,0.001803729,0.001283723,0.0001282895,0.001337292,0.003664005,0.06936722],"genre_scores_gemma":[0.03577989,0.01798446,0.7938403,0.001409259,0.002158722,0.0007041578,0.007526692,0.002922984,0.1376735],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03685845,"threshold_uncertainty_score":0.1233038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03946967750347083,"score_gpt":0.2990375841240756,"score_spread":0.2595679066206047,"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."}}