{"id":"W4224040060","doi":"10.5539/ibr.v15n5p63","title":"A Conditioned Forecasting Model: A-priori Screening Validation Testing","year":2022,"lang":"en","type":"article","venue":"International Business Research","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State University of New York","keywords":"Context (archaeology); Econometrics; Null hypothesis; Statistics; Autocorrelation; Computer science; Range (aeronautics); Scrutiny; A priori and a posteriori; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1107264,0.001751765,0.001895564,0.00160361,0.002278886,0.003842489,0.003831983,0.002936497,0.007903058],"category_scores_gemma":[0.3624969,0.0006726079,0.002848518,0.001263267,0.0044804,0.004760059,0.003318669,0.004815259,0.0008947844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538715,"about_ca_system_score_gemma":0.005314279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378585,"about_ca_topic_score_gemma":0.003197362,"domain_scores_codex":[0.9392449,0.04518927,0.002529118,0.005739129,0.005553162,0.001744372],"domain_scores_gemma":[0.3870854,0.5635977,0.01233015,0.02286318,0.01182549,0.002298068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01570316,0.005682627,0.2678599,0.001653892,0.002764063,0.001678057,0.006372793,0.3073082,0.009144695,0.1836933,0.007591033,0.1905484],"study_design_scores_gemma":[0.000658144,0.006951117,0.03644793,0.0007037966,0.0007306322,0.0004100334,0.002073567,0.838309,0.01185653,0.09606276,0.005527773,0.0002686603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7028785,0.0005951129,0.2809169,0.001079986,0.0002336214,0.001682979,0.0006886649,0.0004605169,0.01146366],"genre_scores_gemma":[0.9556195,0.00008712221,0.04179757,0.0002368106,0.00004964946,0.0006322902,0.0006760364,0.00005218424,0.0008488676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1107264,"threshold_uncertainty_score":0.5855841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6262446236275595,"score_gpt":0.5188539927235928,"score_spread":0.1073906309039667,"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."}}