{"id":"W6948323192","doi":"10.5064/f6buax58/1bzesm","title":"Burke_EDI_NENA.ConfirmationEDIrelate.2017.11.06.tab","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Venn diagram; Workbook; Set (abstract data type); Diagram; Microsoft excel; Table (database)","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","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00357648,0.001497496,0.001598098,0.001633576,0.00182506,0.0003580134,0.007873568,0.001495328,0.000591062],"category_scores_gemma":[0.001615461,0.001713685,0.0003789722,0.001326409,0.002547619,0.003917705,0.004816911,0.001870684,0.02099162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671718,"about_ca_system_score_gemma":0.001405042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008356142,"about_ca_topic_score_gemma":0.001590942,"domain_scores_codex":[0.986445,0.00564235,0.001326137,0.003129516,0.002214954,0.001242118],"domain_scores_gemma":[0.9837408,0.002133468,0.002692282,0.009093437,0.001561444,0.0007785544],"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":[0.0003224086,0.0004847252,0.000009299671,0.0003686876,0.001215013,0.001561991,0.00607268,0.000002051428,0.0001948752,0.0001761027,0.9895861,0.000006115956],"study_design_scores_gemma":[0.001687493,0.0001658606,0.00004992856,0.0005065402,0.001569132,0.0001535235,0.01620759,0.00005812753,0.00006798095,0.00004900902,0.9776082,0.00187662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000535419,0.000273527,0.0001039921,0.000153509,0.003470633,0.001053223,0.9920425,0.0005946967,0.001772504],"genre_scores_gemma":[0.00006284616,0.0001946515,0.001108119,0.0001118088,0.0026196,0.000004632341,0.9884037,0.0001672994,0.007327312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02040056,"threshold_uncertainty_score":0.9998009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08025586086480083,"score_gpt":0.351670934356198,"score_spread":0.2714150734913972,"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."}}