{"id":"W4221029418","doi":"10.1016/j.ijforecast.2022.02.004","title":"Analysing differences between scenarios","year":2022,"lang":"en","type":"article","venue":"International Journal of Forecasting","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Robertson Foundation; Institute for New Economic Thinking","keywords":"Econometrics; Sample (material); Covariate; Sample size determination; Variable (mathematics); Computer science; Statistics; Economics; Mathematics","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":[0.03552547,0.0006830912,0.0007765479,0.002862478,0.0008051202,0.003149027,0.001691335,0.001827861,0.01098295],"category_scores_gemma":[0.2375631,0.0003659218,0.001874467,0.002993741,0.001966532,0.005663406,0.003913346,0.002834247,0.0007153193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002410949,"about_ca_system_score_gemma":0.001049411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703519,"about_ca_topic_score_gemma":0.001294639,"domain_scores_codex":[0.9618977,0.02575389,0.002254956,0.004047192,0.005121824,0.0009244398],"domain_scores_gemma":[0.7413337,0.2282054,0.009311375,0.01253366,0.007583003,0.00103284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003463282,0.0006758675,0.1840085,0.001990893,0.003474732,0.001023248,0.007085636,0.1967741,0.00328399,0.3636922,0.01519007,0.2193374],"study_design_scores_gemma":[0.0002518703,0.002185442,0.1256086,0.0008615114,0.0005880297,0.000956962,0.009131487,0.1853236,0.003741393,0.6134124,0.05760852,0.0003301242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6284339,0.002221733,0.3050992,0.002928907,0.000721685,0.001321848,0.01308783,0.0006272126,0.04555779],"genre_scores_gemma":[0.9502246,0.0002406803,0.04260781,0.0002873115,0.00005514934,0.0007945925,0.004882677,0.0001526932,0.0007544821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03552547,"threshold_uncertainty_score":0.1878789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2837804020029268,"score_gpt":0.3990886874996576,"score_spread":0.1153082854967308,"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."}}