{"id":"W2503250290","doi":"10.1007/978-3-662-50412-3","title":"Transactions on Computational Science XXVII","year":2016,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science","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":[0.001343356,0.001167949,0.001744271,0.001450554,0.0007256399,0.003805403,0.001252195,0.001204771,0.1227736],"category_scores_gemma":[0.005142155,0.0004383869,0.0006874773,0.003003753,0.001244163,0.002409589,0.002497808,0.002763775,0.05754505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569376,"about_ca_system_score_gemma":0.001946703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708854,"about_ca_topic_score_gemma":0.001900147,"domain_scores_codex":[0.9986085,0.0002165855,0.00009778227,0.0001785857,0.0008235644,0.00007509964],"domain_scores_gemma":[0.9979185,0.0006210941,0.00006177488,0.0006496034,0.0006040154,0.0001450164],"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":[0.00006731351,0.00005209816,0.0003761923,0.0005148892,0.00005041453,0.0000693676,0.00007223951,0.003128429,0.001083571,0.09811617,0.4878532,0.4086162],"study_design_scores_gemma":[0.00002016296,0.00002296622,0.0005196183,0.0002129266,0.00002832414,0.0001558837,0.00006859272,0.01031708,0.0008245698,0.1193049,0.868512,0.00001293802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005886785,0.07966502,0.2358417,0.02891282,0.06150686,0.0002077538,0.00375444,0.002244989,0.5819796],"genre_scores_gemma":[0.04414839,0.05241794,0.06094,0.002096654,0.01050215,0.0003173367,0.004784436,0.001547524,0.8232456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1227736,"threshold_uncertainty_score":0.4107184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06437254535895869,"score_gpt":0.3504159729668808,"score_spread":0.2860434276079221,"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."}}