{"id":"W4249273173","doi":"10.1017/s0003975609493020","title":"EUR volume 49 issue 3 Cover and Back matter","year":2008,"lang":"en","type":"paratext","venue":"European Journal of Sociology","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut d'Histoire de l'Amérique Française","funders":"","keywords":"Cover (algebra); Volume (thermodynamics); Content (measure theory); Action (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006319658,0.0008152289,0.0008132193,0.001401079,0.0009929361,0.005434616,0.0008528198,0.002023418,0.8734338],"category_scores_gemma":[0.002083865,0.0003159992,0.0006989641,0.00114084,0.000468023,0.001758107,0.001456711,0.001626955,0.8518848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009476664,"about_ca_system_score_gemma":0.001134064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533201,"about_ca_topic_score_gemma":0.00197902,"domain_scores_codex":[0.9995254,0.00003250391,0.00002292377,0.00008938828,0.000267135,0.00006270086],"domain_scores_gemma":[0.9991121,0.0001132929,0.00004321105,0.0001297433,0.0003674173,0.0002341856],"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":[0.00006249701,0.00004083924,0.000107042,0.0001504051,0.00000626676,0.00005103717,0.00001122514,0.00005025502,0.0005433817,0.001614664,0.9478844,0.04947815],"study_design_scores_gemma":[0.00001178731,0.00001508571,0.0004798313,0.00007706782,0.000002831393,0.00005284473,0.00001356223,0.00004902192,0.0002450341,0.0004727836,0.9985768,0.000003372035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008332269,0.002353197,0.000468725,0.002589347,0.01485604,0.0001050231,0.005173567,0.001100051,0.9725208],"genre_scores_gemma":[0.001449267,0.0008348921,0.0001424383,0.0005923504,0.001216195,0.00002251051,0.001485145,0.0003818477,0.9938754],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1265662,"threshold_uncertainty_score":0.1805312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800224184758672,"score_gpt":0.2382872947213475,"score_spread":0.2002850528737608,"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."}}