{"id":"W4253928386","doi":"10.1017/ssh.2016.9","title":"SSH volume 40 issue 2 Cover and Back matter","year":2016,"lang":"en","type":"paratext","venue":"Social Science History","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Cover (algebra); Volume (thermodynamics); Action (physics); Content (measure theory); Computer science; Mathematics; Engineering; Physics; Mechanical engineering; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000732942,0.0002504078,0.0005962462,0.000330156,0.0005589657,0.0001256926,0.0005819483,0.0002182153,0.6889527],"category_scores_gemma":[0.00002599278,0.0002654619,0.0001372922,0.0001614343,0.002923683,0.0005005274,0.0003346197,0.0001691858,0.9325824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848704,"about_ca_system_score_gemma":0.0001776479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954806,"about_ca_topic_score_gemma":0.000001108211,"domain_scores_codex":[0.9978643,0.00001007018,0.0004400185,0.001022407,0.00008226742,0.0005809022],"domain_scores_gemma":[0.999045,0.0000161494,0.0004708856,0.0002827482,0.00004976609,0.0001354412],"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":[0.000004155313,0.00001159274,0.0002719177,0.00002765283,0.0000171699,4.272496e-7,0.001363624,1.304622e-7,0.00000355949,0.001461699,0.9965544,0.0002837139],"study_design_scores_gemma":[0.0001918093,0.000009957695,0.001176354,0.00001465966,0.000005143081,6.020207e-7,0.0001154727,0.000005357048,8.173439e-7,0.0001596857,0.9979339,0.0003862089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001408967,0.005968773,0.00003150986,0.0004641523,0.02363982,0.0001411945,0.0008136739,0.000009170056,0.9687908],"genre_scores_gemma":[0.001031877,0.0005942446,0.00003331953,0.001062346,0.0009958035,0.00001352126,0.000009038354,0.00002336136,0.9962365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2436297,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185693814530909,"score_gpt":0.2106649618273419,"score_spread":0.1788080236820328,"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."}}