{"id":"W1971518796","doi":"10.1016/j.toxlet.2011.01.008","title":"The fragility of omics risk and benefit perceptions","year":2011,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Toxicogenomics; Framing (construction); Judgement; Perception; Risk perception; Psychology; Context (archaeology); Regulatory science; Knowledge management; Data science; Risk analysis (engineering); Business; Computer science; Political science; Engineering; Medicine; 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":[0.01100779,0.0001715923,0.0002107671,0.002505649,0.001122028,0.00368892,0.0003884744,0.0009148669,0.004993013],"category_scores_gemma":[0.06520999,0.0001977857,0.0004552148,0.0006928385,0.001894372,0.002570712,0.002607734,0.001703761,0.0002801009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666733,"about_ca_system_score_gemma":0.001092814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003915497,"about_ca_topic_score_gemma":0.003870913,"domain_scores_codex":[0.9909577,0.004594606,0.0004224534,0.000306271,0.003142133,0.0005767548],"domain_scores_gemma":[0.9321634,0.04907005,0.01005275,0.001384824,0.004911467,0.002417542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008365578,0.0005544353,0.8015725,0.0001765255,0.0002762429,0.00067242,0.08177761,0.0007612711,0.001961014,0.01487267,0.001340651,0.09519809],"study_design_scores_gemma":[0.0000377746,0.0006872597,0.8373034,0.0002617228,0.0001226066,0.0009128865,0.1294415,0.003024226,0.0007992518,0.02238366,0.004918653,0.0001069747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771627,0.0003948935,0.001540759,0.004172355,0.00003277063,0.00002159621,0.0000431089,0.000006965423,0.01662492],"genre_scores_gemma":[0.999508,0.00004141207,0.0001353327,0.0001186093,0.00001122524,0.000003076056,0.00000797605,0.000001464869,0.0001728843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01100779,"threshold_uncertainty_score":0.05821544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769168220426907,"score_gpt":0.2806666866073229,"score_spread":0.2529750044030538,"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."}}