{"id":"W1912997339","doi":"10.3917/i2d.151.0052","title":"Les working papers en économie","year":2015,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Political science; Library science; Philosophy; Computer science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003332963,0.0003115603,0.0002424009,0.0001441455,0.0002244625,0.005400803,0.0006930271,0.0001867692,0.0001614644],"category_scores_gemma":[0.0001697649,0.0002609929,0.0001183732,0.0003548043,0.0001046745,0.02315528,0.0004803263,0.0002116838,0.002551352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005628116,"about_ca_system_score_gemma":0.0002666559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199772,"about_ca_topic_score_gemma":0.000126084,"domain_scores_codex":[0.9980379,0.00006728886,0.0006614277,0.0002114587,0.0004753894,0.000546488],"domain_scores_gemma":[0.9984605,0.00008145608,0.0003469313,0.0004003768,0.0001947696,0.0005159696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002791784,0.00006603434,0.0008944458,0.00005832968,0.00007971745,0.00001531854,0.02301697,0.001771756,0.00001093374,0.2461389,0.03195424,0.6959655],"study_design_scores_gemma":[0.0008101495,0.0001343654,0.001464868,0.000216028,0.00001765111,0.00006727012,0.0008297337,0.004341461,0.0002431832,0.004316612,0.9871773,0.0003813371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02937753,0.001684535,0.003232644,0.009527624,0.005270964,0.0004422561,0.00001798395,0.0002380563,0.9502084],"genre_scores_gemma":[0.9593658,0.0002136326,0.00287306,0.003486183,0.0004061934,0.00001719162,0.00007204181,0.0000126354,0.03355321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9552231,"threshold_uncertainty_score":0.9999842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2740344542178427,"score_gpt":0.3118271957563492,"score_spread":0.03779274153850642,"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."}}