{"id":"W6967191526","doi":"10.5281/zenodo.11895950","title":"orgueil et préjugés pdf","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Filter (signal processing); Nucleofection; Gloom","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002519976,0.0004863796,0.000606844,0.0009006438,0.001562139,0.000725885,0.00125441,0.0006997078,0.773581],"category_scores_gemma":[0.001941194,0.0004920577,0.0001867516,0.00117996,0.0007421459,0.000159831,0.0021571,0.002513164,0.8151495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006626971,"about_ca_system_score_gemma":0.00006737737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007157472,"about_ca_topic_score_gemma":0.00000107342,"domain_scores_codex":[0.9943973,0.001584903,0.0006124523,0.001168338,0.0008755931,0.001361353],"domain_scores_gemma":[0.9971014,0.0001172018,0.0001756704,0.0009740423,0.0007482114,0.0008835046],"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":[0.0002777864,0.0005760785,0.000008915784,0.004015027,0.0003183766,0.0008646328,0.001257723,0.00000255433,0.000468308,0.02752473,0.8796876,0.08499824],"study_design_scores_gemma":[0.0009600094,0.001768087,0.0006061828,0.001579432,0.0001320146,0.00175624,0.0004414406,0.0002027633,0.00007554631,0.000507719,0.9915727,0.0003978933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000874155,0.005444678,0.0002519695,0.006454861,0.001443194,0.001533066,0.0004356121,0.0008426638,0.9827198],"genre_scores_gemma":[0.02416987,0.001820153,0.0001677398,0.0007760156,0.002059986,1.994877e-7,0.003127307,0.01092837,0.9569504],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.111885,"threshold_uncertainty_score":0.9997881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080574795038059,"score_gpt":0.4086556938195613,"score_spread":0.3005982143157553,"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."}}