{"id":"W3125175858","doi":"10.4436/jass.92006","title":"Perspectives on Open Science and scientific data sharing:an interdisciplinary workshop.","year":2014,"lang":"en","type":"article","venue":"Edinburgh Research Explorer","topic":"Research Data Management Practices","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Openness to experience; Open science; Data sharing; Open data; Variety (cybernetics); Engineering ethics; Science communication; Political science; Public relations; Citizen science; Sociology; Data science; Computer science; Engineering; Science education; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1608197,0.003503971,0.00209143,0.004669041,0.03206454,0.04578811,0.01005078,0.04578736,0.00871711],"category_scores_gemma":[0.08150394,0.002233319,0.004650153,0.005873694,0.04329015,0.05471236,0.05738885,0.06838299,0.002012114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01925826,"about_ca_system_score_gemma":0.02923732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003003012,"about_ca_topic_score_gemma":0.002484303,"domain_scores_codex":[0.8611397,0.1126509,0.003456776,0.005960987,0.00799022,0.008801518],"domain_scores_gemma":[0.8814309,0.08176925,0.002637502,0.00299631,0.006665843,0.02450018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003288069,0.0003692059,0.0005031108,0.001779438,0.0001057798,0.00352118,0.4235909,0.00101325,0.001636214,0.3781243,0.1579434,0.03108437],"study_design_scores_gemma":[0.00007822703,0.0001056835,0.0003535044,0.001765958,0.00002571342,0.0007810087,0.1995298,0.0005625577,0.0004528688,0.09097228,0.7052211,0.0001513015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0103533,0.03873814,0.01421552,0.8748825,0.04565128,0.0003031035,0.0001638042,0.00006444712,0.01562793],"genre_scores_gemma":[0.4855505,0.05828203,0.02946739,0.3236062,0.03563796,0.00403105,0.0006282738,0.0009324498,0.06186413],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9899492,"threshold_uncertainty_score":0.8505061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4895334140431278,"score_gpt":0.5344508866519282,"score_spread":0.04491747260880041,"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."}}