{"id":"W4244047167","doi":"10.18357/scene02201718433","title":"Welcome to Issue 2 of Scene","year":2017,"lang":"en","type":"article","venue":"Scene Reviews of Early Modern Drama","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002261195,0.002154456,0.001701545,0.002180188,0.004986252,0.009387547,0.002225078,0.01218285,0.3502326],"category_scores_gemma":[0.01228902,0.000856579,0.001736877,0.0008264242,0.001005976,0.004619095,0.008567411,0.01070883,0.1607994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664846,"about_ca_system_score_gemma":0.00201932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624926,"about_ca_topic_score_gemma":0.007369163,"domain_scores_codex":[0.9976411,0.000317674,0.00009087644,0.0003090841,0.001019384,0.0006219933],"domain_scores_gemma":[0.9891611,0.001323104,0.0006703084,0.0004072388,0.002923737,0.005514516],"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":[0.00002723865,0.00001195398,0.00001960445,0.00002600412,0.000001749345,0.00003359469,0.0000188507,0.000004636264,0.00006715611,0.0001387608,0.9974611,0.002189276],"study_design_scores_gemma":[0.00003663095,0.00004616384,0.000468059,0.00007628236,0.000005378583,0.00004805575,0.0002143583,0.00002892269,0.00006246056,0.0004072197,0.9985904,0.00001595818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001054537,0.003944172,0.0006582511,0.1272019,0.7767334,0.0006139862,0.001484237,0.001068844,0.08724061],"genre_scores_gemma":[0.004607874,0.001438792,0.000534802,0.08289534,0.2937182,0.0005632109,0.001512847,0.001291285,0.6134377],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3502326,"threshold_uncertainty_score":0.9268143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08813879500976811,"score_gpt":0.2793100527650057,"score_spread":0.1911712577552376,"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."}}