{"id":"W6929701607","doi":"10.5064/f6buax58/2wl6lq","title":"Burke_EDI_NENA.initiatives.2017.10.10.csv","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":"Workbook; Microsoft excel; Base (topology); Set (abstract data type); Data set; Column (typography)","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","sts","insufficient_payload"],"category_scores_codex":[0.004095238,0.001919672,0.002051227,0.001832885,0.001901,0.0003779009,0.009766884,0.001493354,0.007961269],"category_scores_gemma":[0.003401842,0.002185843,0.0005068849,0.001579431,0.003914887,0.004847456,0.006971235,0.002138886,0.05678579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099716,"about_ca_system_score_gemma":0.001979358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003711591,"about_ca_topic_score_gemma":0.0007116182,"domain_scores_codex":[0.9817514,0.008540513,0.001357931,0.004206542,0.002560479,0.001583144],"domain_scores_gemma":[0.9795444,0.00372479,0.003032445,0.01050777,0.002214439,0.0009761213],"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":[0.001393453,0.0007451383,0.000001952425,0.000407571,0.002012806,0.002764984,0.004953212,9.010978e-7,0.0001601719,0.0001290642,0.9874216,0.000009111587],"study_design_scores_gemma":[0.002013467,0.0005197882,0.00004667287,0.0005712079,0.001667416,0.0001008995,0.01919269,0.00002355039,0.0001040415,0.00003937199,0.973334,0.002386865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001364413,0.0002879784,0.0000363246,0.00009923877,0.002149598,0.00108083,0.9802059,0.0005759812,0.01542772],"genre_scores_gemma":[0.00002651888,0.0001883668,0.0009605172,0.0001024812,0.002314214,0.000006145206,0.9592614,0.0002249322,0.03691546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04882452,"threshold_uncertainty_score":0.9998029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018861307282226,"score_gpt":0.3688760772731743,"score_spread":0.2669899465449517,"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."}}