{"id":"W4387681694","doi":"10.2139/ssrn.4603650","title":"&lt;p&gt;Creative Together: Human-AI Ensembling for Idea Generation&lt;/p&gt;","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Creativity; Psychology; Epistemology; Cognitive science; Computer science; Philosophy; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213087,0.0005738628,0.0003969981,0.0006995198,0.0008945377,0.002379543,0.0009180261,0.001252645,0.02770012],"category_scores_gemma":[0.005484492,0.00031199,0.0005285073,0.000628303,0.001548718,0.002872606,0.001834308,0.001290393,0.004346119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006730234,"about_ca_system_score_gemma":0.0006405166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002821911,"about_ca_topic_score_gemma":0.003372316,"domain_scores_codex":[0.9996464,0.0001488764,0.00001723524,0.00007816185,0.00008020067,0.00002901838],"domain_scores_gemma":[0.9986663,0.0008141972,0.00004560069,0.0002332179,0.00014799,0.00009270885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002991096,0.0001154109,0.0009782769,0.0002127487,0.00004647734,0.0002451503,0.0006942538,0.03075545,0.01213727,0.233656,0.02987655,0.6909833],"study_design_scores_gemma":[0.00005844656,0.000113587,0.000990725,0.00006538267,0.0000241802,0.0001551433,0.0002291404,0.6130519,0.01277145,0.3440576,0.0284397,0.00004279791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01103055,0.0004282293,0.9425002,0.001447155,0.0003055564,0.0001151111,0.0001508813,0.003900151,0.04012214],"genre_scores_gemma":[0.3604931,0.0003879488,0.5940357,0.0005020622,0.0001917889,0.0002560793,0.0003208801,0.001136595,0.04267577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02770012,"threshold_uncertainty_score":0.09266615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599725354433643,"score_gpt":0.318334778594262,"score_spread":0.2823375250499255,"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."}}