{"id":"W4386284104","doi":"10.3390/clockssleep5030033","title":"Keep It Simple: Using README Files to Advance Standardization in Chronobiology","year":2023,"lang":"en","type":"article","venue":"Clocks & Sleep","topic":"Research Data Management Practices","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Medical Research Council Canada","keywords":"Standardization; Interoperability; Metadata; Computer science; Data science; Reuse; Process (computing); Resource (disambiguation); Best practice; Knowledge management; World Wide Web; Engineering; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009868657,0.0001199281,0.0001597693,0.0003913327,0.0001180729,0.0005044973,0.001373789,0.00004743349,0.00004423766],"category_scores_gemma":[0.0009378603,0.0001225866,0.0000241529,0.001855431,0.00003741627,0.006145052,0.001354828,0.0001581277,0.0001994979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701394,"about_ca_system_score_gemma":0.00007291201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001004631,"about_ca_topic_score_gemma":0.000238925,"domain_scores_codex":[0.9981698,0.0001766473,0.0002583542,0.0005782025,0.0003114245,0.0005055881],"domain_scores_gemma":[0.9985906,0.0002590904,0.00008616583,0.0008843323,0.00008042057,0.00009938762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001465361,0.000228653,0.02079253,0.0002187119,0.0001267637,0.0007678436,0.002287936,0.3809551,0.01676409,0.1161651,0.06759397,0.3939528],"study_design_scores_gemma":[0.00047847,0.000175187,0.01121291,0.00005076578,0.000006250888,0.000006388898,0.0002171644,0.2718744,0.001160798,0.002686743,0.7117733,0.0003576184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06990461,0.00007642847,0.9217873,0.005378475,0.0003248774,0.0004604479,0.00003591226,0.0002353731,0.001796634],"genre_scores_gemma":[0.9459752,0.000620304,0.04976152,0.001674668,0.0002293389,0.0001114612,0.0002068027,0.00003886217,0.001381786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8760706,"threshold_uncertainty_score":0.4998936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07179246796915913,"score_gpt":0.3918073582334393,"score_spread":0.3200148902642801,"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."}}