{"id":"W4236176593","doi":"10.1017/s0012217317000841","title":"DIA volume 56 issue 3 Cover and Front matter","year":2017,"lang":"en","type":"article","venue":"Dialogue","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Université Laval","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Action (physics); Content (measure theory); Computer science; Environmental science; Engineering; Physics; Mathematics; Mechanical engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002241152,0.0000986911,0.0002618276,0.00005417649,0.0003321736,0.0002834835,0.0002280027,0.00005243279,0.0332776],"category_scores_gemma":[0.00006256215,0.0001096824,0.00006961387,0.0000098597,0.0001852707,0.0002939994,0.0001988653,0.00005226144,0.3475412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002692148,"about_ca_system_score_gemma":0.000003952061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005925811,"about_ca_topic_score_gemma":0.00002218776,"domain_scores_codex":[0.9992174,0.000003115461,0.0002090712,0.0003447658,0.00001356249,0.0002120806],"domain_scores_gemma":[0.9993063,0.00001211719,0.0001835266,0.000426859,0.000009518526,0.00006167596],"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":[0.000003651714,0.00001383239,0.2217137,0.000006844564,0.00003958109,0.000002266343,0.0004626343,0.00000143569,0.000001172027,0.003370275,0.7739781,0.0004065697],"study_design_scores_gemma":[0.0002450839,0.000006964973,0.1979547,0.000003147461,0.000004004705,5.203585e-7,0.00004158428,0.00009896776,0.000005157197,0.001869575,0.7996373,0.0001329879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04771317,0.0007983035,0.0001221999,0.001133261,0.003756723,0.000104555,0.0006183488,0.00001614257,0.9457373],"genre_scores_gemma":[0.5061349,0.0001333066,0.0001204105,0.0004788848,0.0002414856,0.000008859732,0.00001060485,0.000009224972,0.4928624],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4584217,"threshold_uncertainty_score":0.9676061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002877243549518,"score_gpt":0.2067161601564578,"score_spread":0.1766873877209626,"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."}}