{"id":"W3111512942","doi":"10.14288/1.0366011","title":"What’s Next in Research Data Management?","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.003510126,0.00003578821,0.0001538681,0.0002777839,0.0003220044,0.006528115,0.009053366,0.00005460037,0.000078277],"category_scores_gemma":[0.0001491781,0.0001325491,0.00002622653,0.001816428,0.0005678207,0.08397862,0.01012223,0.0002694536,0.0002116956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008262684,"about_ca_system_score_gemma":0.000077803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09696747,"about_ca_topic_score_gemma":0.4647658,"domain_scores_codex":[0.9970458,0.0003635855,0.0001336688,0.0009965223,0.0009296929,0.0005306897],"domain_scores_gemma":[0.9965581,0.0001545447,0.00008229709,0.002818177,0.0002627362,0.0001241923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007374329,0.0001665899,0.001590337,0.0000769496,0.00003596468,0.0008525639,0.0001569769,5.669896e-7,0.00002177292,0.0005982971,0.03279955,0.9636931],"study_design_scores_gemma":[0.0007719439,0.0001193492,0.9224451,0.0002693639,0.000007111139,0.00001612116,0.005533168,0.005411128,4.645061e-7,0.001593479,0.06365402,0.0001787946],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8902442,0.0007909613,0.04792484,0.004679573,0.001110972,0.001474036,0.00009492876,0.0002435844,0.05343683],"genre_scores_gemma":[0.9735537,0.00674562,0.01255756,0.00007205737,0.00004878588,8.778685e-7,0.00004195813,0.00000966895,0.006969733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9635143,"threshold_uncertainty_score":0.9978837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2081991061579824,"score_gpt":0.346759341047664,"score_spread":0.1385602348896816,"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."}}