{"id":"W6950018050","doi":"10.5281/zenodo.4552638","title":"Research Data Management: a Researcher's Point of View","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Event (particle physics); Point (geometry); Event data; Research data; Data management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2177499,0.0008116702,0.002267098,0.007435678,0.00876858,0.03600958,0.004844954,0.01241226,0.008229908],"category_scores_gemma":[0.3021563,0.0009607346,0.001510719,0.0172122,0.01418341,0.02196983,0.01111513,0.01693555,0.004299622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01127051,"about_ca_system_score_gemma":0.06195791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006267179,"about_ca_topic_score_gemma":0.008714474,"domain_scores_codex":[0.7854129,0.1307406,0.02545013,0.007254673,0.04657663,0.004565035],"domain_scores_gemma":[0.3675412,0.2251865,0.0207896,0.05617784,0.29609,0.0342149],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003098377,0.0005220848,0.01539676,0.004690293,0.0003341951,0.002250277,0.08387122,0.0008833326,0.003798275,0.2288172,0.3928759,0.2662506],"study_design_scores_gemma":[0.00007635271,0.0001949121,0.002190962,0.007919707,0.0001970356,0.001771988,0.07391093,0.000976168,0.001881829,0.04457742,0.8661755,0.0001271134],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003480102,0.01613861,0.02140837,0.9362403,0.009341839,0.0001242988,0.0004163661,0.0002049958,0.01264511],"genre_scores_gemma":[0.3042628,0.1052685,0.1248986,0.3901466,0.03313923,0.001175435,0.00104592,0.001200532,0.0388624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.995155,"threshold_uncertainty_score":0.9646536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2849691406940328,"score_gpt":0.3948047283338555,"score_spread":0.1098355876398228,"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."}}