{"id":"W3021112985","doi":"10.12688/mniopenres.12772.2","title":"From data sharing to data publishing","year":2019,"lang":"en","type":"article","venue":"MNI Open Research","topic":"Research Data Management Practices","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Drug Abuse; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Data publishing; Data sharing; Publishing; Computer science; Data science; World Wide Web; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[],"category_scores_codex":[0.1863858,0.001579335,0.003868272,0.01027328,0.007989499,0.04804658,0.01048575,0.007694955,0.01575143],"category_scores_gemma":[0.3963077,0.002625735,0.002564475,0.02321508,0.02821353,0.06720906,0.04108726,0.01944952,0.01261162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008875968,"about_ca_system_score_gemma":0.03234018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003405396,"about_ca_topic_score_gemma":0.001127902,"domain_scores_codex":[0.7544798,0.1444114,0.02650346,0.0198163,0.05050999,0.004279011],"domain_scores_gemma":[0.5002926,0.2361568,0.01478396,0.1903671,0.04222537,0.01617405],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001473495,0.00005893268,0.001130874,0.001510977,0.0001616425,0.0001949656,0.00537156,0.00114328,0.0005968348,0.6884412,0.115426,0.1858164],"study_design_scores_gemma":[0.00003936924,0.00003197334,0.0002832005,0.001394513,0.00003598043,0.0001937419,0.001785657,0.001279927,0.00126762,0.6429124,0.3507099,0.00006563796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00323123,0.01740351,0.6120172,0.2790646,0.01173592,0.001053364,0.002715907,0.005203835,0.06757442],"genre_scores_gemma":[0.1462705,0.05841441,0.664889,0.05342822,0.02567531,0.005073782,0.007804429,0.007155776,0.03128862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9895142,"threshold_uncertainty_score":0.9857139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7920932525184815,"score_gpt":0.5776030781485083,"score_spread":0.2144901743699732,"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."}}