{"id":"W2009382242","doi":"10.1109/cloud.2013.131","title":"Toward an Ecosystem for Precision Sharing of Segmented Big Data","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Big data; Analytics; Raw data; Data science; Data analysis; Data sharing; Set (abstract data type); Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.009004863,0.0007077931,0.0008096328,0.00162515,0.002694555,0.006184458,0.003253223,0.002282196,0.002347252],"category_scores_gemma":[0.01359361,0.0009733337,0.001034311,0.002283243,0.002200445,0.01538364,0.01301247,0.002903753,0.001129321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182414,"about_ca_system_score_gemma":0.003737049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906507,"about_ca_topic_score_gemma":0.001845809,"domain_scores_codex":[0.9950832,0.001420285,0.0003725284,0.0007377529,0.001824321,0.0005620437],"domain_scores_gemma":[0.9901978,0.001151079,0.0007098276,0.004498461,0.001769974,0.001672923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001770096,0.002124352,0.03698872,0.0005412407,0.0005705885,0.002394596,0.00470725,0.07688981,0.06036878,0.4235366,0.03638237,0.3537257],"study_design_scores_gemma":[0.0002662767,0.0005802252,0.003562394,0.0001641754,0.0001306268,0.00114143,0.001960263,0.4597265,0.02597036,0.4029653,0.1032947,0.0002377411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08514713,0.000480418,0.8926876,0.004877051,0.0003080069,0.0005995692,0.0001723832,0.005697333,0.01003061],"genre_scores_gemma":[0.3963559,0.0003421731,0.596028,0.0008163382,0.0001495362,0.0003887122,0.0005623832,0.0004319045,0.004925002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009004863,"threshold_uncertainty_score":0.0476228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6475747092139017,"score_gpt":0.4630136464326516,"score_spread":0.1845610627812501,"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."}}