{"id":"W1964878798","doi":"10.1007/s10618-010-0208-4","title":"Publishing anonymous survey rating data","year":2010,"lang":"en","type":"article","venue":"Data Mining and Knowledge Discovery","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Anonymity; Computer science; Database transaction; Graph; Information retrieval; Personally identifiable information; Internet privacy; Data mining; Similarity (geometry); k-anonymity; Computer security; Theoretical computer science; Database; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01115351,0.0007161248,0.001801148,0.002947415,0.001202333,0.004463987,0.002085301,0.002076428,0.01468504],"category_scores_gemma":[0.09362465,0.0007991646,0.0009956212,0.006454316,0.001035017,0.004771827,0.002109329,0.001993249,0.01100141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570903,"about_ca_system_score_gemma":0.002435655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00496924,"about_ca_topic_score_gemma":0.006544378,"domain_scores_codex":[0.9800805,0.008225473,0.001305708,0.002386993,0.007009163,0.0009921426],"domain_scores_gemma":[0.9068324,0.02471179,0.005230597,0.0519529,0.01012586,0.001146405],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001674175,0.0004191632,0.03618611,0.0006521273,0.0004533835,0.0006960175,0.000853941,0.04511751,0.003104537,0.2066284,0.250856,0.4533587],"study_design_scores_gemma":[0.0002742399,0.0003153362,0.01492685,0.0002300414,0.0002524203,0.00154869,0.0008024602,0.4050463,0.01153699,0.3285797,0.2362956,0.0001913151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1277309,0.002428321,0.6864615,0.0146977,0.003380598,0.001016397,0.07800538,0.009019743,0.07725938],"genre_scores_gemma":[0.8230707,0.001378442,0.08293692,0.001140039,0.001396394,0.0006134092,0.03734302,0.0004270402,0.05169406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9888465,"threshold_uncertainty_score":0.05898613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226799404888649,"score_gpt":0.3328434296471469,"score_spread":0.2101634891582821,"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."}}