{"id":"W6950736828","doi":"10.5683/sp3/y6eife","title":"2022 NEST Omnibus Survey","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Nest (protein structural motif); Survey methodology; Survey data collection; MEDLINE","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00157376,0.0006662538,0.0006874019,0.0005268357,0.00009114539,0.0003118843,0.001242972,0.0006018784,0.001436783],"category_scores_gemma":[0.0008143874,0.0006315149,0.0002188064,0.0009555389,0.0001423334,0.00009617399,0.0004930176,0.001056646,0.08226597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003097859,"about_ca_system_score_gemma":0.0004560829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5768828,"about_ca_topic_score_gemma":0.741522,"domain_scores_codex":[0.9964345,0.0005154509,0.0005071417,0.0009527838,0.000932502,0.0006576664],"domain_scores_gemma":[0.996667,0.0002757774,0.0002280155,0.002381393,0.0001779719,0.0002698431],"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":[0.00005407158,0.00007558416,0.00003783607,0.0001784228,0.0001724206,0.0006274818,0.000008070976,9.515841e-7,0.000001959991,0.00001126033,0.9987511,0.00008082431],"study_design_scores_gemma":[0.0001555204,0.00005054745,0.004715504,0.0001127842,0.0002840002,0.00004575813,0.000005558736,0.000004037691,0.000003384107,0.00007573584,0.9938717,0.0006753976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002478732,0.001269498,1.883971e-7,0.0000570964,0.00103152,0.0003510159,0.9953723,0.0003549742,0.001560908],"genre_scores_gemma":[6.593749e-7,0.0003622753,0.000007748404,0.0001783207,0.0009103678,0.0001060014,0.9974765,0.0003057787,0.0006523784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1646392,"threshold_uncertainty_score":0.9996136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03342770485385615,"score_gpt":0.3024101271785319,"score_spread":0.2689824223246757,"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."}}