{"id":"W4248202159","doi":"10.1109/ipdpsw.2016.241","title":"PDSEC Introduction and Committees","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005508577,0.0006963272,0.0005752211,0.002398083,0.001840318,0.00481607,0.001714764,0.001672611,0.449491],"category_scores_gemma":[0.01234702,0.0006595383,0.0005559861,0.001981683,0.000442319,0.002370795,0.002642451,0.002652086,0.387959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234108,"about_ca_system_score_gemma":0.006548283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004289299,"about_ca_topic_score_gemma":0.008628473,"domain_scores_codex":[0.9971123,0.0003716939,0.0002024131,0.0003604723,0.001541834,0.0004112795],"domain_scores_gemma":[0.9761648,0.0008824924,0.000691506,0.001264831,0.01308215,0.00791415],"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":[0.00001793629,0.00002497166,0.0001456785,0.00005165271,7.730583e-7,0.00001160786,0.00001028149,0.00004914983,0.000151357,0.000843402,0.9736682,0.025025],"study_design_scores_gemma":[0.000005303764,0.000009230305,0.0003511328,0.00002400169,4.595989e-7,0.00001155843,0.00001897197,0.00003634649,0.00006919106,0.0002343475,0.9992366,0.000002960233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003565072,0.00480307,0.02321626,0.04685514,0.07975027,0.004568141,0.03666475,0.009936865,0.7906405],"genre_scores_gemma":[0.00430357,0.001428816,0.00549119,0.004397089,0.006676032,0.001000326,0.01325278,0.0008862914,0.9625638],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.449491,"threshold_uncertainty_score":0.7852343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543592931381651,"score_gpt":0.172875667478617,"score_spread":0.1474397381648005,"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."}}