{"id":"W4391684854","doi":"10.3390/su16041466","title":"Monthly Pork Price Prediction Applying Projection Pursuit Regression: Modeling, Empirical Research, Comparison, and Sustainability Implications","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Projection pursuit; Sustainability; Econometrics; Projection (relational algebra); Regression; Economics; Empirical research; Regression analysis; Predictive modelling; Computer science; Mathematics; Statistics; Ecology","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":[0.003521793,0.0009033034,0.0009907519,0.0008432037,0.0003195739,0.001248803,0.000999009,0.0007544686,0.0009817928],"category_scores_gemma":[0.005789371,0.0003537069,0.001133767,0.001507129,0.0004206315,0.001721245,0.0007734447,0.001382316,0.0001837315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006289611,"about_ca_system_score_gemma":0.001253183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02240506,"about_ca_topic_score_gemma":0.008801664,"domain_scores_codex":[0.9989502,0.0004485287,0.00006291454,0.0002602513,0.0001845115,0.00009374981],"domain_scores_gemma":[0.9976934,0.001478409,0.0001861794,0.0001434839,0.0004376069,0.00006106959],"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":[0.0002403001,0.0004405433,0.091654,0.0001713938,0.0003522838,0.000217553,0.0001149703,0.7997385,0.00133693,0.004437278,0.001484607,0.09981168],"study_design_scores_gemma":[0.000003603891,0.00002421469,0.002890028,0.000003660222,0.00001362699,0.000009599961,0.00002021015,0.9963583,0.0001746779,0.0004094936,0.00008562596,0.000006859572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971436,0.001537965,0.197011,0.001144612,0.00009503073,0.00007821139,0.0004051587,0.0003950221,0.002189299],"genre_scores_gemma":[0.9768327,0.001028924,0.02032493,0.00006164103,0.00006401021,0.00004043504,0.0005715134,0.00003120745,0.001044497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02240506,"threshold_uncertainty_score":0.04454929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2747158417967404,"score_gpt":0.5354286586056284,"score_spread":0.260712816808888,"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."}}