{"id":"W4320927974","doi":"10.7202/1096429ar","title":"Remerciements","year":2022,"lang":"fr","type":"article","venue":"Écosystème","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001387663,0.0002925782,0.0003172902,0.0002257136,0.0008509419,0.00006773709,0.0006652497,0.00006573823,0.07379735],"category_scores_gemma":[0.00008769597,0.0004096156,0.0002108771,0.001276323,0.00008988341,0.0002237567,0.001010738,0.0006103651,0.07010821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003518367,"about_ca_system_score_gemma":0.0003353868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008010669,"about_ca_topic_score_gemma":0.0001292175,"domain_scores_codex":[0.9958858,0.0009352206,0.0004751426,0.0005760262,0.001166558,0.0009612439],"domain_scores_gemma":[0.9985929,0.00005939936,0.0002403723,0.0007824469,0.00007905692,0.0002458599],"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":[0.0001079932,0.001083087,0.004260428,0.0001331602,0.0002628217,0.0005273796,0.001082573,0.00139913,0.007801877,0.05650524,0.9125525,0.01428382],"study_design_scores_gemma":[0.0009281703,0.000235,0.002351147,0.00003818049,0.0001195165,0.0001826232,0.0004488687,0.002281861,0.0002872668,0.003047184,0.9896538,0.000426405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.534208,0.06784896,0.0002029469,0.02514279,0.04015119,0.002638859,0.01061318,0.001149845,0.3180442],"genre_scores_gemma":[0.7644987,0.00004164876,0.0004305567,0.0007536474,0.0005761418,0.0002228996,0.0001607399,0.0002376004,0.233078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2302907,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094171700278673,"score_gpt":0.2473582592006179,"score_spread":0.2264165421978312,"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."}}