{"id":"W2561597695","doi":"","title":"The library and the lab: exploring research data management at the University of Toronto's Faculty of Dentistry","year":2016,"lang":"en","type":"article","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Dentistry; Data curation; Library science; Medicine; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.04230359,0.0004269101,0.0005697954,0.003929701,0.02767473,0.02167782,0.003508578,0.001896235,0.00573688],"category_scores_gemma":[0.05788487,0.001057325,0.000432204,0.01124016,0.01148222,0.01019216,0.01025494,0.002966234,0.001120685],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06217043,"about_ca_system_score_gemma":0.09997641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3730643,"about_ca_topic_score_gemma":0.6042624,"domain_scores_codex":[0.9377752,0.0463088,0.002349656,0.002198834,0.007182738,0.00418482],"domain_scores_gemma":[0.870809,0.08392216,0.008874875,0.00483378,0.01024456,0.02131565],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001446419,0.0001374809,0.02035593,0.0007125381,0.00003134629,0.001804207,0.8854089,0.0002718871,0.001984198,0.006002854,0.0188367,0.06430936],"study_design_scores_gemma":[0.00001981281,0.0000938376,0.01327257,0.0002882702,0.00002414207,0.0002783585,0.8674681,0.0002813847,0.000804974,0.001068904,0.1163419,0.00005773702],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8022414,0.008638279,0.02068866,0.1016602,0.0003910116,0.001126372,0.001690247,0.001090437,0.06247337],"genre_scores_gemma":[0.9474362,0.005413007,0.02289342,0.005199659,0.0001255094,0.0003995502,0.0004852822,0.0003195008,0.01772806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9964914,"threshold_uncertainty_score":0.7417858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3725072591970869,"score_gpt":0.394592215190219,"score_spread":0.02208495599313204,"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."}}