{"id":"W2093426783","doi":"10.1371/journal.pbio.1001779","title":"Troubleshooting Public Data Archiving: Suggestions to Increase Participation","year":2014,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Australian National University","keywords":"Troubleshooting; Open data; Data sharing; Data science; Dissemination; Information Dissemination; Internet privacy; World Wide Web; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":["metaresearch"],"category_scores_codex":[0.3482645,0.0034093,0.002387308,0.01184337,0.01464096,0.02860657,0.0179647,0.02570371,0.05017749],"category_scores_gemma":[0.606563,0.003265576,0.005197656,0.01066304,0.01415232,0.05516371,0.03070834,0.027461,0.02885425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009814496,"about_ca_system_score_gemma":0.08188049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211834,"about_ca_topic_score_gemma":0.01216063,"domain_scores_codex":[0.6379879,0.240325,0.04258973,0.01198097,0.05176657,0.01534978],"domain_scores_gemma":[0.1989457,0.465553,0.03488395,0.09786639,0.1528502,0.04990075],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005366264,0.002007919,0.009961875,0.003999037,0.0001538214,0.001753824,0.04170305,0.00109449,0.003391472,0.02016822,0.5594753,0.3557544],"study_design_scores_gemma":[0.000552099,0.0004540944,0.00449785,0.004876286,0.0001449586,0.001200564,0.03850602,0.002649064,0.002347836,0.0374352,0.9068725,0.0004636553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.01003944,0.003071244,0.06967042,0.8679764,0.01080849,0.008677085,0.0005992263,0.006552337,0.02260546],"genre_scores_gemma":[0.07753258,0.008179083,0.5443633,0.2652651,0.01401493,0.03406055,0.003499789,0.005159908,0.04792481],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9820353,"threshold_uncertainty_score":0.8037059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2915186612585918,"score_gpt":0.4105975123136387,"score_spread":0.119078851055047,"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."}}