{"id":"W4283169746","doi":"10.1111/2041-210x.13911","title":"An open future for <scp>MEE</scp>","year":2022,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computational biology; Biology; Computer science","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001622206,0.00007318206,0.000213794,0.0001490978,0.0003161539,0.000004040973,0.0001376675,0.001347589,0.00005205754],"category_scores_gemma":[0.0002205249,0.00006737099,0.00002394024,0.000197573,0.00009582187,0.00005918191,0.0001449154,0.001391193,0.000001441567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008055568,"about_ca_system_score_gemma":0.00006330406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001556956,"about_ca_topic_score_gemma":0.00004503028,"domain_scores_codex":[0.9989949,0.0003811466,0.0001495764,0.0002422094,0.00003139156,0.0002007286],"domain_scores_gemma":[0.9994882,0.0002356668,0.00005008188,0.0001662069,0.0000199566,0.000039912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001115288,0.001913046,0.519944,0.0001757398,0.0003250981,0.000101033,0.002448852,0.0002600207,0.03832134,0.2814436,0.02487407,0.1290779],"study_design_scores_gemma":[0.003050447,0.002788519,0.7151935,0.000008622162,0.0001161357,0.0003820461,0.00308188,0.004569032,0.001248191,0.05148432,0.2180015,0.00007580921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112775,0.002879969,0.05921488,0.02033872,0.002312499,0.001432813,0.00001337386,0.0001185075,0.002411748],"genre_scores_gemma":[0.618352,0.00037159,0.3762684,0.002520154,0.00021351,0.000500109,0.00005593932,0.00001885131,0.001699483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170535,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219105504358089,"score_gpt":0.3811195894264051,"score_spread":0.3589285343828242,"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."}}