{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01260993,0.0008536136,0.0009925413,0.001228211,0.002086319,0.003992011,0.001601048,0.002233947,0.003569379],"category_scores_gemma":[0.07413156,0.0005077169,0.0008985316,0.001242636,0.0035578,0.007144591,0.003758698,0.00394065,0.001429632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518987,"about_ca_system_score_gemma":0.001873227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149571,"about_ca_topic_score_gemma":0.0009517876,"domain_scores_codex":[0.9802786,0.01158449,0.001063748,0.002036226,0.004094527,0.0009424518],"domain_scores_gemma":[0.9104452,0.05147027,0.007272202,0.02462397,0.005172029,0.00101634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001769135,0.0004751231,0.03811603,0.0008172232,0.0004951819,0.001250929,0.009290052,0.0739129,0.02359614,0.3428652,0.01798491,0.4894272],"study_design_scores_gemma":[0.000113737,0.0002963024,0.004987435,0.0002633526,0.0001766291,0.0006138802,0.001509491,0.3918474,0.03006513,0.5406798,0.02930965,0.0001372697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2415635,0.0008627443,0.70518,0.02201302,0.0004343816,0.0003968267,0.001104049,0.001333344,0.02711218],"genre_scores_gemma":[0.9488006,0.0002134775,0.04636152,0.00128161,0.0002065368,0.00009094206,0.0003511854,0.00007403768,0.002620144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01260993,"threshold_uncertainty_score":0.06668848,"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."}}