{"id":"W4247732613","doi":"10.1111/ciso.12090","title":"Issue Information ‐ TOC","year":2017,"lang":"en","type":"paratext","venue":"City & Society","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Citation; Information retrieval; Computer 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":[0.001115768,0.002088682,0.001754627,0.005075511,0.002061314,0.01244975,0.002356688,0.003200715,0.9453256],"category_scores_gemma":[0.006979427,0.0008965313,0.00113313,0.004531229,0.0008141358,0.005330974,0.003082233,0.002658185,0.920771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002322042,"about_ca_system_score_gemma":0.003319229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008104927,"about_ca_topic_score_gemma":0.0129038,"domain_scores_codex":[0.9991004,0.0001038807,0.00005242428,0.0001331528,0.0004380741,0.0001720677],"domain_scores_gemma":[0.9964814,0.0006747926,0.0001495676,0.0006314939,0.001176295,0.0008864109],"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":[0.00002365441,0.00002755663,0.00003918347,0.00008044557,0.000002549533,0.000008479297,0.00000806115,0.0000272055,0.00004963009,0.001097295,0.9880238,0.01061215],"study_design_scores_gemma":[0.00003156212,0.00001820043,0.0002839524,0.00009100018,0.000002841943,0.00000965643,0.00002785029,0.00009779649,0.0001464621,0.001355409,0.9979264,0.000008914416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003380812,0.0005320859,0.0005491149,0.002538549,0.007636397,0.0002092065,0.0536633,0.003754003,0.9307793],"genre_scores_gemma":[0.001164514,0.0003703635,0.0001390691,0.0006396696,0.000763003,0.00006738488,0.01537461,0.001291314,0.9801901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05467439,"threshold_uncertainty_score":0.0779863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903645408444375,"score_gpt":0.2374976581888026,"score_spread":0.1884612041043588,"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."}}