{"id":"W6893750677","doi":"10.5281/zenodo.6469348","title":"In silico Structure Elucidation & FAIR Information Management for Improved UVCB Assessment","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Cheminformatics; In silico; Session (web analytics); Presentation (obstetrics); Biomedicine; Data management","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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.006870289,0.001195595,0.0009988553,0.002783411,0.001058783,0.003575898,0.002004098,0.001372052,0.0208252],"category_scores_gemma":[0.01166332,0.0006606596,0.00127329,0.002092156,0.0004489686,0.00312018,0.002177019,0.001435102,0.005836883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269839,"about_ca_system_score_gemma":0.002497484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004879278,"about_ca_topic_score_gemma":0.007545013,"domain_scores_codex":[0.9977399,0.0009267999,0.0001701134,0.0003388142,0.0007000458,0.0001242771],"domain_scores_gemma":[0.9948226,0.001925993,0.0004461692,0.001347289,0.001190057,0.0002678454],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002145033,0.0009601248,0.01304312,0.0014166,0.0003973757,0.0004465102,0.0005940064,0.06496832,0.1071549,0.01856019,0.1458292,0.6444846],"study_design_scores_gemma":[0.00039625,0.000539737,0.004879197,0.0002937243,0.0005351201,0.0003134613,0.0004070117,0.567254,0.1990311,0.04057138,0.1855842,0.0001948323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06198096,0.003119297,0.787342,0.008201052,0.0006339086,0.001072671,0.04296096,0.07089663,0.02379255],"genre_scores_gemma":[0.2404166,0.001951552,0.7050139,0.0009868356,0.0001907457,0.000473409,0.04163769,0.002351215,0.00697812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9979959,"threshold_uncertainty_score":0.06966728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860519809023862,"score_gpt":0.2986380019856636,"score_spread":0.260032803895425,"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."}}