{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.06725259,0.0006241368,0.0005384702,0.001368906,0.01239269,0.009352294,0.002792623,0.005007356,0.01731924],"category_scores_gemma":[0.08072475,0.0005376504,0.001156312,0.001239277,0.005595163,0.007609854,0.01251454,0.006802814,0.004167902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007709379,"about_ca_system_score_gemma":0.01760646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0066481,"about_ca_topic_score_gemma":0.01890155,"domain_scores_codex":[0.9424924,0.04717108,0.001329975,0.002701862,0.003839393,0.002465391],"domain_scores_gemma":[0.9141635,0.04705799,0.003391454,0.007732664,0.01309993,0.01455457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007197818,0.002281754,0.009581757,0.0007343619,0.0001691362,0.005568468,0.1724489,0.0105703,0.006841935,0.1340503,0.136714,0.5203195],"study_design_scores_gemma":[0.0004131318,0.001715061,0.003389825,0.0006092428,0.0001132071,0.0009298223,0.2030534,0.00735482,0.00506747,0.06844573,0.7085704,0.0003377841],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3728738,0.001633744,0.1319649,0.09362689,0.003118705,0.002516199,0.0002086331,0.001137865,0.3929194],"genre_scores_gemma":[0.8724328,0.00107463,0.06605428,0.004715568,0.0005359639,0.0008760122,0.0002460515,0.0001885269,0.05387625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9876073,"threshold_uncertainty_score":0.35567,"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."}}