{"id":"W4387184045","doi":"10.1177/19467567231203164","title":"The Co-Creative Futures Triangle: A Workshop to Build Shared Intent for Transformation","year":2023,"lang":"en","type":"article","venue":"World Futures Review","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Futures contract; Futures studies; Context (archaeology); Stakeholder; Mindset; Sociology; Public relations; Management; Computer science; Economics; Political science; Financial economics; Geography","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":[0.03192257,0.001090506,0.000474962,0.001760888,0.008502326,0.009704892,0.003054626,0.005299816,0.01139638],"category_scores_gemma":[0.03016452,0.0005237589,0.001635332,0.001025714,0.01173699,0.01213778,0.02143418,0.007068877,0.002484593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004021409,"about_ca_system_score_gemma":0.01097879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716414,"about_ca_topic_score_gemma":0.002683038,"domain_scores_codex":[0.9756827,0.01953669,0.0005242088,0.001076538,0.002025323,0.001154504],"domain_scores_gemma":[0.9705822,0.02076643,0.001038232,0.002472152,0.001878947,0.003262083],"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":[0.0002987296,0.000517173,0.001289039,0.001170882,0.00007736425,0.002320469,0.2195068,0.003475393,0.004776352,0.4931694,0.08296777,0.1904307],"study_design_scores_gemma":[0.0001126938,0.0002826456,0.0005846591,0.0009044154,0.00003568832,0.0009145922,0.08471649,0.003288926,0.003137209,0.2039749,0.7019287,0.0001190478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08222957,0.00424008,0.5076402,0.08885802,0.006756201,0.002302507,0.0002854734,0.001617258,0.3060708],"genre_scores_gemma":[0.6617214,0.002585803,0.2607761,0.006500553,0.0006099089,0.001929318,0.0003199031,0.0005852496,0.0649718],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03192257,"threshold_uncertainty_score":0.1688247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306407311239828,"score_gpt":0.4847220417391275,"score_spread":0.2540813106151447,"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."}}