{"id":"W4389073546","doi":"","title":"Notice de présentation des projections et incertitudes pour Explore2: version courte","year":2023,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Humanities; Philosophy","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":[],"category_scores_codex":[0.01162267,0.000599916,0.0005724691,0.0005878012,0.001209156,0.001972249,0.003384649,0.000417505,0.0002355319],"category_scores_gemma":[0.004484021,0.0006878713,0.0004018977,0.001901724,0.0006153935,0.00160171,0.0038014,0.001098844,0.001220733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000863762,"about_ca_system_score_gemma":0.001731214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380349,"about_ca_topic_score_gemma":0.01744135,"domain_scores_codex":[0.9839575,0.01154376,0.0009660949,0.001656567,0.00103506,0.0008410368],"domain_scores_gemma":[0.9875033,0.003340987,0.0009605919,0.003486774,0.004298428,0.0004099205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007381751,0.004250261,0.02980361,0.001200764,0.001163548,0.000119407,0.1378925,0.01359542,0.01259799,0.6365649,0.07163125,0.09110657],"study_design_scores_gemma":[0.001646378,0.000003834705,0.09112956,0.007747986,0.0006406662,0.0001000983,0.002316,0.7522292,0.0354959,0.04184433,0.06501758,0.00182851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03666871,0.0004562917,0.8903189,0.05682644,0.001191607,0.0007158982,0.0001768774,0.0007649548,0.01288034],"genre_scores_gemma":[0.3868268,0.003619865,0.547762,0.0005284955,0.0001806171,0.0003760204,0.002190771,0.0001609257,0.05835446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7386338,"threshold_uncertainty_score":0.9995573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654293544331501,"score_gpt":0.2939454939768514,"score_spread":0.2374025585335364,"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."}}