{"id":"W6984097813","doi":"","title":"Patricia Kosseim","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Private sector; Information privacy; Confidentiality; Privacy policy; Privacy law; Personally identifiable information","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00159538,0.0005181924,0.0004889721,0.0009703971,0.009766161,0.004589254,0.0009630361,0.003303072,0.09899723],"category_scores_gemma":[0.005502295,0.0006125876,0.0002757722,0.001756438,0.002005465,0.002012198,0.001752996,0.003432193,0.04152064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02540964,"about_ca_system_score_gemma":0.04268482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8266143,"about_ca_topic_score_gemma":0.9142121,"domain_scores_codex":[0.9974694,0.0001480431,0.00004870799,0.0004170839,0.001332445,0.0005842036],"domain_scores_gemma":[0.9956673,0.000467598,0.0001031103,0.0001746441,0.00263241,0.0009548697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003715921,0.000001441364,0.00007629947,0.00001402854,4.003851e-7,0.00002269008,0.0001262084,0.000008213227,0.00003124975,0.003834215,0.9927006,0.00318099],"study_design_scores_gemma":[0.000001186043,7.687145e-7,0.0003871307,0.00001606172,5.991884e-7,0.00001503673,0.0001589571,0.00001153575,0.000022992,0.0002684408,0.9991139,0.000003458363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001395304,0.01067849,0.0007903086,0.2673232,0.006178197,0.000115844,0.002447772,0.0004575617,0.7106134],"genre_scores_gemma":[0.004668036,0.001926304,0.0002493002,0.02079085,0.0002072357,0.00002792668,0.0002739103,0.0001033165,0.971753],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9010028,"threshold_uncertainty_score":0.3488135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373241662869958,"score_gpt":0.261635103354834,"score_spread":0.2379026867261345,"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."}}