{"id":"W2116463107","doi":"10.1108/14636680610656183","title":"Public futures studies: themes and variations","year":2006,"lang":"en","type":"article","venue":"foresight","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Originality; Value (mathematics); Futures studies; Field (mathematics); State (computer science); Sociology; Public value; Regional science; Marketing; Public relations; Social science; Political science; Economics; Qualitative research; Business; Financial economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001904076,0.0000381305,0.00005196146,0.00004312389,0.0007835812,0.00007409806,0.00009338047,0.00003653329,0.0005234929],"category_scores_gemma":[0.00009136651,0.00003185901,0.00001730326,0.0001240684,0.0001375889,0.0001358324,0.00003122583,0.0000334856,0.00002734794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003299328,"about_ca_system_score_gemma":0.00001844735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006651655,"about_ca_topic_score_gemma":0.02526573,"domain_scores_codex":[0.999565,0.0000874163,0.00007468503,0.00006952357,0.00009899619,0.0001043523],"domain_scores_gemma":[0.9996415,0.0001155196,0.00003093039,0.0001095053,0.00007450836,0.00002803214],"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":[0.00000169644,0.00003194834,0.004598668,0.000005697663,0.000009173586,1.945541e-7,0.03221313,5.755626e-7,0.0000437987,0.9210925,0.03430822,0.007694466],"study_design_scores_gemma":[0.0001186165,0.000008845577,0.0314905,0.000006639625,0.00000772614,2.813288e-7,0.01665515,0.00003374872,0.000005529141,0.06980592,0.8817869,0.00008010909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1142933,0.01360755,0.0006197444,0.08573219,0.0006376043,0.0005002042,0.00002619488,0.0003570192,0.7842262],"genre_scores_gemma":[0.9901708,0.005175395,0.0002799194,0.0002070531,0.0003738027,0.0000210965,0.00002420336,0.000003977642,0.003743697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8758776,"threshold_uncertainty_score":0.9925206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6413913805881127,"score_gpt":0.4670995973177981,"score_spread":0.1742917832703146,"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."}}