{"id":"W4394723075","doi":"10.5260/chara.25.4.15","title":"GreenFILE","year":2024,"lang":"en","type":"article","venue":"The Charleston Advisor","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Computer science","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009888329,0.00009041589,0.00006579955,0.0001080756,0.0001286179,0.002822062,0.002850634,0.00001859339,0.0001191478],"category_scores_gemma":[0.000126981,0.000055472,0.00004473878,0.0005448302,0.00005979275,0.01199972,0.0009502469,0.0002193844,0.002368912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002774322,"about_ca_system_score_gemma":0.00004685558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004795159,"about_ca_topic_score_gemma":0.00000714368,"domain_scores_codex":[0.9987709,0.0001108298,0.0001125518,0.0003486003,0.000388034,0.0002690886],"domain_scores_gemma":[0.9984416,0.0003004163,0.00002603849,0.001148535,0.00002233588,0.00006111428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002803554,0.00002034766,0.00001463608,0.00004326097,0.00002855674,0.00007715025,0.0003124349,0.000008368143,0.0005940425,0.8513107,0.05256422,0.09502353],"study_design_scores_gemma":[0.00005202047,0.00003464467,0.000689426,0.00002649962,0.000005757638,0.00001739046,0.00003621946,0.02433302,0.0003971241,0.003622981,0.9706866,0.00009831089],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004895948,0.004204049,0.7929989,0.1184871,0.001483448,0.0006671729,0.0000193898,0.001507987,0.07573608],"genre_scores_gemma":[0.8403413,0.004342312,0.01547921,0.002812315,0.0007858824,0.0002267635,0.00002785532,0.00006292283,0.1359214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9181224,"threshold_uncertainty_score":0.9984078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07376053306121734,"score_gpt":0.3470118805592328,"score_spread":0.2732513474980155,"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."}}