{"id":"W2909527879","doi":"10.1007/s10726-018-09610-5","title":"Design Theory for Generating Alternatives in Public Decision Making Processes","year":2019,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Plant Biotechnology Institute","funders":"Université de Recherche Paris Sciences et Lettres","keywords":"Decision theory; Management science; Computer science; Process management; Risk analysis (engineering); Business; Economics; Microeconomics","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009652504,0.0002861912,0.0005589735,0.001164564,0.0003346103,0.00132814,0.000681507,0.0001553601,0.0003614539],"category_scores_gemma":[0.01599081,0.0002086174,0.0001164029,0.001460236,0.00004100677,0.001345637,0.0002802865,0.000156476,0.0001440903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008329847,"about_ca_system_score_gemma":0.00009686591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004610537,"about_ca_topic_score_gemma":0.0000935113,"domain_scores_codex":[0.9947706,0.0005038235,0.001505275,0.00111243,0.001674904,0.0004329061],"domain_scores_gemma":[0.9725026,0.02543886,0.000633297,0.000631033,0.00067293,0.0001212033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006683146,0.00008378182,0.01693786,0.00002134394,0.00001073292,0.000004334399,0.001196622,0.003853834,0.001501339,0.03291335,0.001175973,0.9416325],"study_design_scores_gemma":[0.002256568,0.0002754482,0.03086617,0.000418915,0.000007049446,0.00002736589,0.001601675,0.2752058,0.0001057967,0.6827811,0.006025456,0.0004286947],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3412613,0.001011976,0.6559073,0.00004736554,0.0006303295,0.0007773621,0.000004790122,0.00003528817,0.0003242436],"genre_scores_gemma":[0.9081725,0.00002853296,0.09104655,0.0002581586,0.000142091,0.00006276707,0.000003048977,0.00002804278,0.0002582625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9412038,"threshold_uncertainty_score":0.9997086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552329035018692,"score_gpt":0.3944932923802981,"score_spread":0.2392603888784289,"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."}}