{"id":"W2094536036","doi":"10.1007/978-3-540-79299-4","title":"Transactions on Computational Science I","year":2008,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pleasure; Computer science; Volume (thermodynamics); Series (stratigraphy); Data science; Psychology; Geology","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":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001017721,0.000500313,0.0004104723,0.002146173,0.000949921,0.001131451,0.007123566,0.0001527843,0.00001680606],"category_scores_gemma":[0.00004781028,0.0004707902,0.000124446,0.00348087,0.002314894,0.002039946,0.0005712454,0.0008388042,0.000188979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007418317,"about_ca_system_score_gemma":0.002726101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009510269,"about_ca_topic_score_gemma":0.000009527896,"domain_scores_codex":[0.9940713,0.00003626461,0.0004622497,0.002095276,0.002422812,0.0009120849],"domain_scores_gemma":[0.9973103,0.0003916605,0.0002106068,0.001547581,0.0002961797,0.000243706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002423867,0.00008608308,0.000003044165,0.00001558013,0.000006640309,0.00009890502,0.0003623476,0.2591147,0.000009986132,0.007720436,0.0003024629,0.7322774],"study_design_scores_gemma":[0.0002937776,0.000190668,0.0001297247,0.0001677548,0.000004835262,0.00007432882,1.198733e-7,0.9332721,0.0004223031,0.06130841,0.003492937,0.000643084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001328652,0.00006771418,0.9900273,0.0006810355,0.002500816,0.0003654558,0.00001473809,0.0002489898,0.006080657],"genre_scores_gemma":[0.02517452,0.00005637732,0.9679447,0.003314552,0.0004872862,0.00002215365,0.00002287501,0.00003743039,0.002940043],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7316343,"threshold_uncertainty_score":0.9999055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620428712254314,"score_gpt":0.2459086932167167,"score_spread":0.2297044060941735,"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."}}