{"id":"W7030259444","doi":"","title":"Modèles de copules Archimédiennes pour données de Bernoulli corrélées","year":2015,"lang":"fr","type":"other","venue":"","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Maximum likelihood; Population; Bernoulli distribution; Laplace's method","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008394226,0.001682861,0.002828077,0.002355522,0.001228557,0.003627408,0.004686531,0.003989774,0.007362609],"category_scores_gemma":[0.02375643,0.001721001,0.00415568,0.002687428,0.003119525,0.004558335,0.002853241,0.004959795,0.001692379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003086376,"about_ca_system_score_gemma":0.002594545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412273,"about_ca_topic_score_gemma":0.011793,"domain_scores_codex":[0.9955034,0.001644757,0.0002215724,0.001315919,0.000922435,0.0003919797],"domain_scores_gemma":[0.9790718,0.01547171,0.001401294,0.002044092,0.001615849,0.0003953663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001456565,0.00006962763,0.004969982,0.0003246447,0.0002953433,0.0004273277,0.0005453112,0.720068,0.002474228,0.2379758,0.002051193,0.03065296],"study_design_scores_gemma":[0.00001229467,0.00003670177,0.0007941988,0.00004330683,0.00004487584,0.0001485241,0.00003944851,0.9415551,0.0004608209,0.05384284,0.002980095,0.00004172681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01948455,0.0008149866,0.9755021,0.0007435821,0.000112144,0.00009258195,0.0004018993,0.0003945734,0.002453588],"genre_scores_gemma":[0.547742,0.003923305,0.4021276,0.001371176,0.0007118337,0.001335832,0.002350348,0.0008186271,0.03961923],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01412273,"threshold_uncertainty_score":0.04439342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265711564204013,"score_gpt":0.2588367200445652,"score_spread":0.2361796044025251,"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."}}