{"id":"W2620238560","doi":"10.1126/scitranslmed.aai9055","title":"A trust approach for sharing research reagents","year":2017,"lang":"en","type":"review","venue":"Science Translational Medicine","topic":"Research Data Management Practices","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Maple Leaf Medical Clinic; Structural Genomics Consortium; University of Toronto","funders":"Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; Novartis Pharma; AbbVie; European Federation of Pharmaceutical Industries and Associations; University of Toronto; Ontario Ministry of Research, Innovation and Science; Wellcome Trust; European Commission; Boehringer Ingelheim; Bill and Melinda Gates Foundation; Pfizer; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada","keywords":"Feature (linguistics); Core (optical fiber); Property (philosophy); Business; Public good; Public trust; Internet privacy; Computer science; Public relations; Law and economics; Political science; Economics; Microeconomics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.02833275,0.0003166489,0.0009179335,0.002004304,0.001913177,0.002792129,0.0179015,0.00009901475,0.00002108639],"category_scores_gemma":[0.004709159,0.0002246762,0.000166905,0.002465954,0.002251293,0.01964736,0.001174345,0.0007724328,0.00003143242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016095,"about_ca_system_score_gemma":0.001654699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004506421,"about_ca_topic_score_gemma":0.000003660171,"domain_scores_codex":[0.9917984,0.0002281401,0.0007037766,0.001980193,0.004259742,0.001029773],"domain_scores_gemma":[0.9943374,0.001247591,0.0004192107,0.003007667,0.0006316048,0.0003565448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003051197,0.00003584679,0.000003798841,0.003564802,0.00002889217,0.000005741831,0.000086545,0.000001986968,7.915018e-7,0.2476029,0.000408644,0.748257],"study_design_scores_gemma":[0.0002910604,0.00009000202,0.00002199813,0.002924119,0.00005888091,0.00001589141,0.00001941227,0.008243125,2.752116e-7,0.003384794,0.9847344,0.0002161046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.535838e-8,0.6836528,0.2786996,0.001397415,0.0003315098,0.001998336,0.00002413753,0.0000495758,0.03384661],"genre_scores_gemma":[0.00001216275,0.9453674,0.04979886,0.00002507829,0.0005113634,0.0005478967,0.0001541677,0.00002169637,0.003561374],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9843257,"threshold_uncertainty_score":0.9993862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7897820225394091,"score_gpt":0.612875206892654,"score_spread":0.1769068156467551,"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."}}