{"id":"W4309326429","doi":"10.1093/pnasnexus/pgac256","title":"Hiding opinions from machine learning","year":2022,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Narodowe Centrum Nauki; York University; New York University Abu Dhabi","keywords":"Computer science; Intuition; Artificial intelligence; Heuristic; Social media; Internet privacy; Fake news; Data science; Machine learning; World Wide Web; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004984485,0.00005866675,0.00007944703,0.00004998065,0.002303118,0.00007467349,0.0003711358,0.00003054229,0.001731368],"category_scores_gemma":[0.0006201664,0.0000678606,0.00003928492,0.0002483358,0.00004592955,0.0001968543,0.000457309,0.0003479879,0.00007471174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293282,"about_ca_system_score_gemma":0.00007138682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03236184,"about_ca_topic_score_gemma":0.001432059,"domain_scores_codex":[0.9988365,0.0003632823,0.0001000683,0.0001886233,0.0003015995,0.0002099429],"domain_scores_gemma":[0.9995718,0.0001210263,0.00005609129,0.0001624858,0.00001480644,0.00007377302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002687918,0.0009508972,0.07997575,0.00004482637,0.0002475354,0.0001308073,0.3091813,0.002133562,0.005448911,0.317722,0.0900187,0.1938769],"study_design_scores_gemma":[0.0001772762,0.00003577221,0.0008532396,0.000003028655,0.000007135289,9.84605e-7,0.005083798,0.00115066,0.00005795758,0.0280917,0.9644255,0.0001129358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4797772,0.01062942,0.01421974,0.05432934,0.0182297,0.002153706,0.001732399,0.00322565,0.4157028],"genre_scores_gemma":[0.9978275,0.00006035997,0.0002314085,0.0001771823,0.0005292871,0.00004113081,0.0002402108,0.000009221792,0.0008837573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8744068,"threshold_uncertainty_score":0.9991812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219441959947778,"score_gpt":0.3086338731178157,"score_spread":0.2664394535183379,"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."}}