{"id":"W2360259737","doi":"","title":"Ethical Thinking on Sci-tech Risk","year":2001,"lang":"en","type":"article","venue":"Journal of Wuhan University of Science and Technology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"High tech; Psychology; Risk analysis (engineering); Business; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004413915,0.00003643759,0.00008303235,0.0005231163,0.0001011785,0.000005298058,0.0002483565,0.0001317876,0.000007742407],"category_scores_gemma":[0.00009077227,0.00003331475,0.00001389249,0.0007462392,0.000697345,0.00008872603,0.00002941088,0.0004207166,0.000001706145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004388417,"about_ca_system_score_gemma":0.00004261511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005526569,"about_ca_topic_score_gemma":0.000002414318,"domain_scores_codex":[0.9995716,0.000003051274,0.00007022994,0.0000529956,0.0002026161,0.00009954953],"domain_scores_gemma":[0.9997153,0.00001788383,0.00004409726,0.00005925979,0.0001114774,0.00005194627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001227819,0.0003374366,0.02965382,0.0003119145,0.000168551,0.0003338789,0.005865882,0.003303665,0.2339204,0.06142023,0.007719228,0.6568422],"study_design_scores_gemma":[0.007482991,0.007002451,0.2156103,0.003277959,0.00043425,0.003874836,0.04103251,0.08246628,0.1362307,0.1717513,0.3286719,0.002164482],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933938,0.00009454064,0.00312829,0.002611721,0.0001837413,0.00001286006,2.542379e-7,0.00003977147,0.0005349798],"genre_scores_gemma":[0.9974393,0.0005580391,0.001953954,0.00001469802,0.000018594,8.090217e-9,3.107676e-8,0.000001637097,0.0000137499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6546777,"threshold_uncertainty_score":0.2569397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004534437458762326,"score_gpt":0.1838758439800002,"score_spread":0.1793414065212379,"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."}}