{"id":"W4252325003","doi":"10.1007/978-1-4614-6170-8_100014","title":"Forecasting Models","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[0.0006607447,0.001235473,0.0007481852,0.0009991261,0.0003759952,0.001967904,0.001179084,0.0009611996,0.03679302],"category_scores_gemma":[0.002344698,0.0003839837,0.0007327372,0.001517238,0.0003818767,0.002323223,0.0006748128,0.001630975,0.02301631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007581901,"about_ca_system_score_gemma":0.0008004663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003095739,"about_ca_topic_score_gemma":0.00321231,"domain_scores_codex":[0.9996363,0.00007514726,0.00001666,0.00008015115,0.0001685243,0.00002316111],"domain_scores_gemma":[0.9994984,0.0002325275,0.00002051141,0.0001176718,0.0001137477,0.0000171829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000217774,0.00004826765,0.0003231379,0.0002363749,0.00004876504,0.00005485917,0.00007627768,0.03681323,0.0007371694,0.2099683,0.1998919,0.5517799],"study_design_scores_gemma":[0.000007741172,0.000021287,0.0003751599,0.000207998,0.00003744845,0.0001071606,0.00004771839,0.1118549,0.001228396,0.3584001,0.527679,0.00003314959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003214842,0.01443693,0.5966492,0.005150377,0.002891536,0.0001226702,0.002205508,0.003070618,0.3722585],"genre_scores_gemma":[0.08555219,0.03250251,0.1932604,0.001703201,0.00324679,0.0003182464,0.007732279,0.001265949,0.6744185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03679302,"threshold_uncertainty_score":0.1230849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.391332214338155,"score_gpt":0.3788372616337443,"score_spread":0.01249495270441064,"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."}}