{"id":"W2744392936","doi":"","title":"Proceedings - 15th International Conference on Computational Science and Its Applications - ICCSA 2015 - 22-25 June 2015 Banff, Alberta, Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Geography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004170762,0.0001560882,0.0001667614,0.0003987994,0.0003689557,0.001276742,0.001752663,0.00002830146,0.0004251421],"category_scores_gemma":[0.002779735,0.0001205205,0.00001945051,0.001357413,0.0002825081,0.000734327,0.0007477796,0.0001078927,0.0003964943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526023,"about_ca_system_score_gemma":0.001696476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03629505,"about_ca_topic_score_gemma":0.05455342,"domain_scores_codex":[0.9940351,0.0000213556,0.0004757803,0.001030136,0.004131264,0.0003063385],"domain_scores_gemma":[0.9953831,0.0004047559,0.0002089813,0.0003913684,0.003163048,0.0004487663],"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":[0.000008322633,0.00004422563,0.0004461014,0.000001624165,0.000006037968,8.808144e-7,0.0001425184,0.0005491476,0.00001666715,0.2138812,0.7811786,0.003724657],"study_design_scores_gemma":[0.0004222478,0.00003225228,0.002835089,0.00001306046,0.000005840017,0.00001190678,0.001412664,0.3584121,0.0000479612,0.01634964,0.6202332,0.0002240856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06344144,0.00009477205,0.02528531,0.09684781,0.006817693,0.001546243,0.0002590353,0.0001869082,0.8055208],"genre_scores_gemma":[0.9541165,0.000002319082,0.002405429,0.00110783,0.000112381,0.00002850517,0.0000368943,0.000006087683,0.04218403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8906751,"threshold_uncertainty_score":0.99976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131292896776437,"score_gpt":0.3873641020387217,"score_spread":0.2560712052622848,"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."}}