{"id":"W6912271964","doi":"10.5281/zenodo.4058971","title":"Creating a README for your dataset (Quick Guide)","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Usability; Key (lock); Window (computing)","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":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001723539,0.0001536261,0.0001562776,0.0001749091,0.001976979,0.009200826,0.005690768,0.00003993719,0.00111201],"category_scores_gemma":[0.00628401,0.0001606348,0.0000463711,0.0008517121,0.00008568816,0.01186999,0.006380039,0.0002496961,0.003577915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009004158,"about_ca_system_score_gemma":0.000009825655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003002744,"about_ca_topic_score_gemma":2.468053e-7,"domain_scores_codex":[0.9973025,0.0003927084,0.0003334662,0.0008144312,0.0006232265,0.0005336715],"domain_scores_gemma":[0.9977555,0.000116458,0.0001752458,0.001147232,0.0004544253,0.0003511619],"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":[0.00005132148,0.00007228046,0.000001704393,0.000122375,0.0000494331,0.00002775014,0.0006820717,0.00004815434,0.001944608,0.08725986,0.8612585,0.04848194],"study_design_scores_gemma":[0.0004701762,0.0003375146,0.00005391782,0.00001490346,0.000009654438,0.00002240334,0.0002143896,0.01051556,0.0002661966,0.0001550043,0.9877669,0.0001733739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002873313,0.00005981422,0.9024002,0.01904173,0.00007633986,0.001058392,0.002233685,0.001210931,0.07363159],"genre_scores_gemma":[0.2732618,0.00285743,0.4586106,0.02932854,0.00470099,0.000004102108,0.1852329,0.01235495,0.03364865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4437896,"threshold_uncertainty_score":0.9998011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1617820865515809,"score_gpt":0.3432306126012916,"score_spread":0.1814485260497108,"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."}}