{"id":"W4398210682","doi":"10.1515/9781805390640","title":"Risky Futures","year":2022,"lang":"en","type":"book","venue":"Berghahn Books","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; Arts and Humanities Research Council; International Arctic Science Committee; Universitetet i Oslo; University of Toronto; University of Oxford; European Commission; National Institutes of Health; Royal Anthropological Institute; Austrian Science Fund; National Science Foundation; University of Oklahoma; Princeton University; University of Manchester; Smithsonian Institution; Norges Forskningsråd; University of Cambridge","keywords":"Futures contract; Economics; Financial economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002539355,0.0004460526,0.0005905417,0.0003968427,0.002798848,0.0002199656,0.001083445,0.0005387799,0.005570469],"category_scores_gemma":[0.0004497102,0.0004946603,0.000321397,0.0002331777,0.0006399068,0.0001649113,0.0003298064,0.001123887,0.0001437691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968746,"about_ca_system_score_gemma":0.00426165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00743529,"about_ca_topic_score_gemma":0.01067305,"domain_scores_codex":[0.9955848,0.000655453,0.0007382275,0.0007411286,0.001595087,0.0006853452],"domain_scores_gemma":[0.9976081,0.0002672423,0.0005896019,0.0008598192,0.0005199926,0.0001552276],"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":[0.000008920072,0.00002258881,0.0001396665,0.00009462099,0.00005379963,0.00001982835,0.0117407,0.00000660451,6.150681e-7,0.6049613,0.3813639,0.001587444],"study_design_scores_gemma":[0.0001547815,0.00004153867,0.0001507768,0.00002996387,0.0000427584,0.000002090831,0.004640372,0.000001485611,0.00000104712,0.1051062,0.8893571,0.0004718367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002837493,0.0008712623,0.00001898756,0.000731135,0.003142171,0.001341878,0.00007270756,0.0004230955,0.993115],"genre_scores_gemma":[0.008143961,0.00002538777,0.00004306887,0.0004112815,0.004948055,0.0002065252,0.0002465463,0.0001111956,0.985864],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5079932,"threshold_uncertainty_score":0.9997505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934303803959873,"score_gpt":0.3108286137882921,"score_spread":0.2914855757486934,"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."}}