{"id":"W6893835929","doi":"10.5281/zenodo.4973625","title":"ORCID AND OPENAIRE COMPLIANCE FOR DSPACE: OR2021","year":2021,"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 Laval; Queen's University","funders":"","keywords":"DSPACE; Work (physics); Compliance (psychology); Presentation (obstetrics); Open source; Code (set theory)","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.08637527,0.0008975468,0.001089377,0.006441367,0.006191989,0.01549191,0.006199488,0.006492461,0.18031],"category_scores_gemma":[0.2259405,0.001626664,0.0008238083,0.005915433,0.00356605,0.01778485,0.01646879,0.004794143,0.1072588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009188678,"about_ca_system_score_gemma":0.02568523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302426,"about_ca_topic_score_gemma":0.02394423,"domain_scores_codex":[0.9129394,0.01691852,0.009493519,0.007997395,0.04692248,0.005728773],"domain_scores_gemma":[0.7156916,0.04469972,0.008995297,0.1077335,0.1077217,0.01515813],"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":[0.000431838,0.0002523843,0.003352693,0.00035332,0.00001763489,0.0001660032,0.001477805,0.0002425657,0.001879221,0.03946111,0.857922,0.09444339],"study_design_scores_gemma":[0.00007301709,0.00003992354,0.001698355,0.0001656421,0.000006992978,0.0000685028,0.0004136152,0.0006422065,0.001377729,0.003583816,0.9918523,0.00007789756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01733712,0.0005435639,0.1285583,0.04154709,0.006013715,0.006321697,0.03886221,0.2094017,0.5514145],"genre_scores_gemma":[0.07772394,0.0005341542,0.1355834,0.02019592,0.001975866,0.005752629,0.1117875,0.08950856,0.556938],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9938005,"threshold_uncertainty_score":0.6031969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1392917486554551,"score_gpt":0.3290257218041809,"score_spread":0.1897339731487258,"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."}}