{"id":"W4231775048","doi":"10.1111/mila.12154","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Mind & Language","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002993603,0.0002144546,0.0004732142,0.0003046468,0.0001161101,0.0001981437,0.0003208468,0.000211463,0.4192851],"category_scores_gemma":[0.0000466196,0.0002397581,0.000136937,0.0001241141,0.0001054972,0.0003741979,0.0001463103,0.000141939,0.9308696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009268,"about_ca_system_score_gemma":0.00001990369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002650559,"about_ca_topic_score_gemma":0.00001316337,"domain_scores_codex":[0.9987596,0.000005085056,0.0005457357,0.0003474443,0.00003128502,0.0003108171],"domain_scores_gemma":[0.9990389,0.00001226414,0.0004481326,0.0004104272,0.00002736354,0.00006295522],"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":[0.000003740934,0.00001062626,0.00001398037,0.0000351976,0.00006056743,0.000001068728,0.005478167,0.00000272859,4.188532e-7,0.0004530107,0.9921365,0.00180394],"study_design_scores_gemma":[0.0002041025,0.0000193834,0.00002447045,0.00001958071,0.000006672564,0.000001106175,0.001820874,0.0000456891,0.00003277286,0.00004689559,0.9974939,0.0002845721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001263032,0.003731667,0.00008745954,0.00009116917,0.01666906,0.0001583044,0.00440363,0.00001308545,0.9735826],"genre_scores_gemma":[0.001315812,0.0001638643,0.0002025812,0.0004062774,0.001070324,0.00001714115,0.0006575795,0.0000166357,0.9961498],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5115846,"threshold_uncertainty_score":0.9777051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914995494452995,"score_gpt":0.2209944019716675,"score_spread":0.2018444470271375,"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."}}