{"id":"W2788622724","doi":"","title":"Policy lensing of futures intelligence: connecting foresight with decision making contexts","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Futures contract; Futures studies; Computer science; Data science; Economics; Artificial intelligence; Financial economics","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":[0.008773977,0.001218354,0.001020563,0.004706862,0.002617515,0.01794628,0.001800515,0.003257262,0.01691024],"category_scores_gemma":[0.02623576,0.0006995668,0.001093458,0.005697033,0.01271766,0.02343102,0.006066066,0.004735528,0.000888977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007420062,"about_ca_system_score_gemma":0.005873747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006730891,"about_ca_topic_score_gemma":0.005182271,"domain_scores_codex":[0.9945129,0.003525763,0.000191281,0.0007154198,0.0006590417,0.0003956064],"domain_scores_gemma":[0.9813818,0.0132313,0.001873075,0.001422907,0.001194481,0.0008963986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002422176,0.00001755091,0.0005967754,0.0001274036,0.00002598563,0.00009636115,0.001887721,0.003561363,0.000149242,0.9819353,0.001090897,0.01048726],"study_design_scores_gemma":[0.000002697965,0.000003869643,0.0002447821,0.00007442833,0.000006528649,0.00001822196,0.001325479,0.002983483,0.0001060015,0.9884879,0.006737282,0.000009317798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06928016,0.009542347,0.5170928,0.08327442,0.000866346,0.0001742996,0.0009621198,0.0003135588,0.3184939],"genre_scores_gemma":[0.9416475,0.005142527,0.04587298,0.0008981847,0.0003839386,0.0001212941,0.0002922284,0.000122963,0.005518489],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01794628,"threshold_uncertainty_score":0.05657035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06975180311565167,"score_gpt":0.3628905809988887,"score_spread":0.293138777883237,"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."}}