{"id":"W7098987936","doi":"","title":"Pour citer cet article, utiliser l&amp;apos;information suivante:","year":2015,"lang":"en","type":"article","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Work (physics); Field (mathematics); Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004120443,0.001336529,0.001407003,0.003482731,0.00252385,0.01066309,0.002154397,0.006145159,0.6187301],"category_scores_gemma":[0.04642258,0.0005946945,0.001215296,0.003348948,0.001237116,0.006839484,0.004514172,0.00365747,0.5552901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003233526,"about_ca_system_score_gemma":0.008362352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381754,"about_ca_topic_score_gemma":0.03382744,"domain_scores_codex":[0.9970298,0.0004164076,0.0002305037,0.0003141201,0.00168051,0.0003286609],"domain_scores_gemma":[0.9810479,0.003762177,0.001159495,0.001307748,0.01062005,0.002102684],"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":[0.00002767585,0.00001511801,0.0002526697,0.0002439898,0.000007609604,0.0001095716,0.0001211366,0.00003018257,0.0003957589,0.001534408,0.9703293,0.02693274],"study_design_scores_gemma":[0.00001023635,0.000006158004,0.0003021478,0.0001140378,0.000005752177,0.00007532741,0.000106304,0.00007727453,0.0003049396,0.0004562731,0.9985279,0.00001371207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002936781,0.01433001,0.01967769,0.2209586,0.1364881,0.001994786,0.02619582,0.02045828,0.55696],"genre_scores_gemma":[0.007773845,0.008323916,0.006565935,0.01547322,0.0123519,0.0004896139,0.006630117,0.003668326,0.9387231],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3812699,"threshold_uncertainty_score":0.5438352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2026674743038442,"score_gpt":0.3173978662072597,"score_spread":0.1147303919034156,"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."}}