{"id":"W4401982275","doi":"10.1109/eurospw61312.2024.00007","title":"SPIDER: Interplay Assessment Method for Privacy and Other Values","year":2024,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spider; Computer science; Information privacy; Internet privacy; Zoology; Biology","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":[0.01052165,0.0018354,0.0009679842,0.008638287,0.001709536,0.004735911,0.001214816,0.001389474,0.01569864],"category_scores_gemma":[0.03446045,0.0007632054,0.001980003,0.004430548,0.00213675,0.007348532,0.005815263,0.001974599,0.001702453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337899,"about_ca_system_score_gemma":0.002602491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156114,"about_ca_topic_score_gemma":0.003117924,"domain_scores_codex":[0.9893013,0.00547776,0.001053752,0.001301077,0.002577133,0.0002890085],"domain_scores_gemma":[0.9784433,0.01572706,0.001476221,0.001367879,0.002463644,0.0005219958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007959829,0.000407088,0.02136416,0.003337866,0.0003873462,0.0006196272,0.01814743,0.01319926,0.01383707,0.2413323,0.01439439,0.6721775],"study_design_scores_gemma":[0.0002257587,0.0004797641,0.01128865,0.0009369693,0.0004535589,0.0009704561,0.01027169,0.3507219,0.01613811,0.4812143,0.1269452,0.0003536669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01041545,0.0002237322,0.9764041,0.0002781887,0.00005739161,0.0006835973,0.0008863195,0.003077309,0.007973879],"genre_scores_gemma":[0.1255701,0.0001514446,0.8691064,0.00009360268,0.00002320298,0.001445402,0.000815507,0.0004353508,0.002359046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01569864,"threshold_uncertainty_score":0.05564445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04789388154210069,"score_gpt":0.4370571291162018,"score_spread":0.3891632475741011,"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."}}