{"id":"W4310523795","doi":"10.33137/rr.v45i2.39804","title":"Back Inside Cover","year":2022,"lang":"en","type":"article","venue":"Renaissance and Reformation","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Engineering; Mechanical engineering","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":["insufficient_payload"],"category_scores_codex":[0.0004987381,0.0009792757,0.001025971,0.002234688,0.002394479,0.006074536,0.001252831,0.002326561,0.8685794],"category_scores_gemma":[0.004142219,0.00041382,0.0007329373,0.001644399,0.0006173389,0.003228284,0.003159246,0.002685597,0.8562682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479411,"about_ca_system_score_gemma":0.001724942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003940624,"about_ca_topic_score_gemma":0.01069196,"domain_scores_codex":[0.9992625,0.00005173382,0.0000184204,0.000106937,0.0004600115,0.0001003571],"domain_scores_gemma":[0.9981428,0.0002077209,0.00007947906,0.000234938,0.0008199179,0.0005150501],"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":[0.00001352421,0.00001432212,0.00004061985,0.00003651676,0.000001139213,0.00001582973,0.00001092785,0.0000183369,0.0000965354,0.001251276,0.971117,0.02738397],"study_design_scores_gemma":[0.000005177391,0.000007749537,0.0002280316,0.00005097802,0.000001237003,0.00001505849,0.00002728128,0.00002478909,0.00008088206,0.001047215,0.9985079,0.000003636613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003126341,0.001182103,0.0004482251,0.003131865,0.01335132,0.0001184126,0.002510323,0.0009135301,0.9780316],"genre_scores_gemma":[0.0005023929,0.0002505479,0.00008092867,0.0005809778,0.001022883,0.0000189185,0.0006742257,0.0002218509,0.9966473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1314206,"threshold_uncertainty_score":0.1874555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257106417278393,"score_gpt":0.200440772323029,"score_spread":0.167869708150245,"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."}}