{"id":"W4390338210","doi":"10.3917/dm.111.0125","title":"10.3917/dm.111.0125","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Internet privacy; Vulnerability (computing); Utopia; Personally identifiable information; Psychology; Information privacy; Computer science; Computer security; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006237669,0.001400566,0.0007037682,0.002224328,0.001831445,0.00402083,0.001022502,0.002320778,0.9553974],"category_scores_gemma":[0.001838429,0.0007096863,0.0005423077,0.001848371,0.001464065,0.00261254,0.002271492,0.002022697,0.9540634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168833,"about_ca_system_score_gemma":0.001276878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004339136,"about_ca_topic_score_gemma":0.007747127,"domain_scores_codex":[0.9995131,0.00005029847,0.00003528425,0.0001582619,0.0001497101,0.00009337103],"domain_scores_gemma":[0.9985493,0.000213142,0.00008223645,0.0002809038,0.000418504,0.0004558067],"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":[0.0001469852,0.0002167216,0.001330393,0.0002302924,0.00001219209,0.0001666305,0.00007029131,0.0001377655,0.001171739,0.009823998,0.6353018,0.3513911],"study_design_scores_gemma":[0.00001936313,0.00001375985,0.0009169669,0.000170221,0.00000720956,0.0002578586,0.00005817961,0.0001071236,0.0003470143,0.001230451,0.9968603,0.00001158799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005175282,0.0005792304,0.0005434113,0.001403434,0.000706829,0.00004630203,0.00124336,0.0006077464,0.9943521],"genre_scores_gemma":[0.002268832,0.000434651,0.0003499045,0.0006108336,0.0001330882,0.00003497764,0.0005599182,0.0001532654,0.9954544],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04460257,"threshold_uncertainty_score":0.06362015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490361929430157,"score_gpt":0.2461276009616007,"score_spread":0.2312239816672992,"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."}}