{"id":"W4244236454","doi":"10.1002/sam.11386","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Statistical Analysis and Data Mining The ASA Data Science Journal","topic":"Transportation Systems and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Université de Montréal","funders":"","keywords":"Computer science; Information retrieval; Citation; Data science; World Wide Web; Library 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":["insufficient_payload"],"category_scores_codex":[0.001283181,0.001921854,0.00170699,0.006951964,0.001297321,0.008522432,0.002088368,0.002532349,0.9188953],"category_scores_gemma":[0.007609891,0.0006615704,0.001028627,0.006089796,0.0005459241,0.003901866,0.002834043,0.001924727,0.9087439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796027,"about_ca_system_score_gemma":0.00278123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362736,"about_ca_topic_score_gemma":0.002766717,"domain_scores_codex":[0.9987383,0.0001435753,0.0001099622,0.0001955002,0.0006764387,0.0001361278],"domain_scores_gemma":[0.9956632,0.0005673093,0.0002322763,0.0005177436,0.001868185,0.00115117],"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":[0.00001677475,0.00002725507,0.00005016131,0.000196841,0.000002338583,0.00001749683,0.000007509361,0.00003118935,0.0001309618,0.0009717228,0.9506772,0.04787065],"study_design_scores_gemma":[0.00001449864,0.00001620405,0.0002213525,0.0001079054,0.000002768418,0.00002382029,0.0000187475,0.00005307582,0.00007177878,0.001136671,0.9983278,0.000005347912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002924098,0.001400755,0.001573783,0.003972702,0.01444615,0.0004777318,0.02660846,0.003021605,0.9482064],"genre_scores_gemma":[0.0006537021,0.0009407311,0.0006022537,0.00135961,0.001872407,0.0001387201,0.01162375,0.0006723186,0.9821364],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0811047,"threshold_uncertainty_score":0.115686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854510382062079,"score_gpt":0.3262234257958047,"score_spread":0.2776783219751839,"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."}}