{"id":"W4241629705","doi":"10.1007/s10858-019-00269-x","title":"Editorial","year":2019,"lang":"es","type":"editorial","venue":"Journal of Biomolecular NMR","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Computational biology","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.004841219,0.001542847,0.003143313,0.002134648,0.0001878305,0.0009534893,0.00310281,0.004446641,0.0003848953],"category_scores_gemma":[0.00704695,0.001413933,0.003172329,0.001260311,0.0003940677,0.0007248215,0.0005124017,0.005688057,0.01279682],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819557,"about_ca_system_score_gemma":0.007106661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005048024,"about_ca_topic_score_gemma":0.000002169705,"domain_scores_codex":[0.9829705,0.00125299,0.003591498,0.0008938254,0.009922533,0.001368705],"domain_scores_gemma":[0.9815458,0.00107621,0.008720355,0.001535577,0.006198514,0.0009235578],"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":[0.002287895,0.0005447462,0.00001811182,0.0003364102,0.002239043,0.001078387,0.0001128351,0.00004945037,0.136506,0.00003015949,0.8564621,0.0003348988],"study_design_scores_gemma":[0.007171272,0.003014295,0.000009135582,0.001921963,0.00214804,0.0003095867,0.00005436779,0.00002533914,0.005403091,0.0001362832,0.9784848,0.00132181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000682489,0.004005169,0.000484738,0.0001467398,0.9922087,0.0005319598,0.0008746916,0.00004326788,0.001022199],"genre_scores_gemma":[0.001030492,0.000989174,0.0006271103,0.00003918574,0.9955781,0.000002809423,0.0001813194,0.0007861982,0.0007655896],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1311029,"threshold_uncertainty_score":0.999732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005391655083709602,"score_gpt":0.2708730889941571,"score_spread":0.2654814339104475,"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."}}