{"id":"W6949598225","doi":"10.5281/zenodo.3775742","title":"Where does Canada's social science research data live? An evaluation of data disposition","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gateway (web page); Government (linguistics); Data collection; Subject (documents); Data sharing; Disposition; Social research; Open data; Data governance","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":["metaresearch"],"category_scores_codex":[0.2016824,0.000385659,0.001253232,0.0213057,0.02616067,0.03481026,0.004090443,0.001656891,0.00380289],"category_scores_gemma":[0.4321173,0.001011756,0.0008953008,0.06061114,0.013096,0.01471708,0.01464659,0.00283229,0.0005077718],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.141304,"about_ca_system_score_gemma":0.2540357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9089508,"about_ca_topic_score_gemma":0.9343388,"domain_scores_codex":[0.7545167,0.07469218,0.01945743,0.008847792,0.1290969,0.01338906],"domain_scores_gemma":[0.4855117,0.1860411,0.03560923,0.0515165,0.2212488,0.02007269],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007448302,0.0001476215,0.3318204,0.002277687,0.000380854,0.000717902,0.1122195,0.001722235,0.001408799,0.1548924,0.04006252,0.3536052],"study_design_scores_gemma":[0.0001147423,0.0002805656,0.395189,0.003714684,0.0003441898,0.0003623787,0.2406975,0.002596138,0.002145733,0.01912525,0.3349173,0.0005124541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5413876,0.009943051,0.02125245,0.144438,0.0009927909,0.003265581,0.02217966,0.001137306,0.2554036],"genre_scores_gemma":[0.9678891,0.003601975,0.01496946,0.003080104,0.00008260905,0.0006459011,0.003107591,0.0002293552,0.006393897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959096,"threshold_uncertainty_score":0.9959656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1911388368645286,"score_gpt":0.4078250708043502,"score_spread":0.2166862339398216,"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."}}