{"id":"W1966110428","doi":"10.1177/02767602022003007","title":"Learning From a University-Cosponsored Regional Consensus Conference","year":2002,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University","funders":"","keywords":"Process (computing); Consensus conference; Political science; Public involvement; Public participation; Public administration; Test (biology); Engineering ethics; Public relations; Engineering management; Operations research; Engineering; Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.004772348,0.0001781684,0.0003734238,0.000678792,0.001306813,0.0001289184,0.004255954,0.0002886165,0.002710104],"category_scores_gemma":[0.005208577,0.0001491339,0.0002061713,0.006057519,0.02376711,0.0001415874,0.0007909567,0.0009119128,0.0007911705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191971,"about_ca_system_score_gemma":0.0002993207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001723648,"about_ca_topic_score_gemma":0.000006361195,"domain_scores_codex":[0.9949096,0.0001683355,0.0004896157,0.001115833,0.002574361,0.0007422683],"domain_scores_gemma":[0.996197,0.001454651,0.0004049486,0.0007238195,0.0009990404,0.0002205008],"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":[0.00008871744,0.0003315554,0.05129718,0.000008743859,0.000053978,0.00008561464,0.01278087,0.000387473,0.1870963,0.05531042,0.6354927,0.05706635],"study_design_scores_gemma":[0.001092694,0.0002810194,0.01120966,0.00006592536,0.00001540551,0.00004561564,0.1016772,0.01858321,0.007684908,0.02467343,0.834165,0.0005058441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420334,0.0002587616,0.0004465987,0.04489147,0.0001149672,0.0001604267,0.00001187575,0.0001793462,0.01190312],"genre_scores_gemma":[0.9791262,0.0003227447,0.009099158,0.0002709921,0.00002307681,0.000001806303,5.970547e-7,0.000005776604,0.01114969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1986723,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090991588039237,"score_gpt":0.3266047663375621,"score_spread":0.2175056075336384,"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."}}