{"id":"W4400440939","doi":"10.5465/amproc.2024.14130symposium","title":"Solving Societal Grand Challenges: A Debate and Future Directions","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"World Systems and Global Transformations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Grand Challenges; Political science; Environmental ethics; Engineering ethics; Philosophy; Engineering; Law","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":[0.0006263489,0.00008538577,0.0001103719,0.0001116259,0.0003892098,0.0001275048,0.0001196505,0.00008362295,0.00002508893],"category_scores_gemma":[0.000004926775,0.00007850163,0.00006272287,0.0003391525,0.0001185332,0.0006394736,0.0000334586,0.0001304437,0.000008794153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003142918,"about_ca_system_score_gemma":0.000007654277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003722681,"about_ca_topic_score_gemma":0.00001993329,"domain_scores_codex":[0.9991522,0.000009465001,0.0001822291,0.0001866118,0.0002639802,0.0002055192],"domain_scores_gemma":[0.9998403,0.000020005,0.00003694607,0.00001696439,0.00002232986,0.00006348194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001888738,0.00001126928,0.00004007387,0.0006551035,0.00009175817,5.38428e-7,0.02754734,1.058142e-7,0.00001182764,0.8696985,0.007704118,0.09423745],"study_design_scores_gemma":[0.00009083972,0.00000791522,0.001484962,0.0001746668,0.00005604385,0.000001622471,0.02108372,0.00003491688,0.000008963209,0.006676306,0.970291,0.00008902496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02566431,0.03467579,0.00004931042,0.1000644,0.0004545766,0.0007379263,0.000007454561,0.0003952653,0.8379509],"genre_scores_gemma":[0.9104097,0.0846435,0.0003841338,0.0001303929,0.0006118432,0.00004697023,5.808446e-7,0.0000104736,0.003762355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625869,"threshold_uncertainty_score":0.3201204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876573963433272,"score_gpt":0.3020177344798781,"score_spread":0.2732519948455454,"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."}}