{"id":"W6893645915","doi":"10.5281/zenodo.4973626","title":"ORCID AND OPENAIRE COMPLIANCE FOR DSPACE: OR2021","year":2021,"lang":"en","type":"article","venue":"Figshare","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":[0.09680904,0.0007358119,0.0009809199,0.006542047,0.006542398,0.01588389,0.006260269,0.006129644,0.1880222],"category_scores_gemma":[0.2669763,0.001435163,0.0007802106,0.006758827,0.003623157,0.01799868,0.01677922,0.004496751,0.09882626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009587802,"about_ca_system_score_gemma":0.02836576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02619712,"about_ca_topic_score_gemma":0.02997719,"domain_scores_codex":[0.9119509,0.0189006,0.01000192,0.007866435,0.04606306,0.005217073],"domain_scores_gemma":[0.6668811,0.05510443,0.009570091,0.125655,0.1239913,0.01879808],"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":[0.0002835329,0.0001806035,0.003019796,0.0003063398,0.00001410373,0.0001369891,0.001705384,0.0001722429,0.001273927,0.03921117,0.8585097,0.09518611],"study_design_scores_gemma":[0.00004725933,0.0000281991,0.00160284,0.0001585163,0.000005281195,0.00005509533,0.0004692093,0.0004196685,0.0008345365,0.003268203,0.9930496,0.00006157457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01397786,0.0005009919,0.1124088,0.0521691,0.005897571,0.006087682,0.0348978,0.1452315,0.6288287],"genre_scores_gemma":[0.07616465,0.0005504893,0.1425475,0.02521212,0.001908735,0.006363602,0.0901544,0.0681238,0.5889747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9937397,"threshold_uncertainty_score":0.6289968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3322055958404426,"score_gpt":0.4170706525230701,"score_spread":0.08486505668262756,"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."}}