{"id":"W4366222321","doi":"10.1007/s10260-023-00692-3","title":"Alternative fixed-effects panel model using weighted asymmetric least squares regression","year":2023,"lang":"en","type":"article","venue":"Statistical Methods & Applications","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Heteroscedasticity; Estimator; Econometrics; Statistics; Mathematics; Regression analysis; Panel data; Generalized least squares; Covariance matrix; Covariance; Fixed effects model; Regression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008186437,0.0002201492,0.0005168761,0.000651142,0.0003153006,0.00008290423,0.0003486713,0.0001176231,0.000206938],"category_scores_gemma":[0.000718743,0.0002169941,0.0001166353,0.002202912,0.0001135912,0.0001403023,0.0001480628,0.0002200575,0.0009821579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009161726,"about_ca_system_score_gemma":0.00002820592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007337888,"about_ca_topic_score_gemma":0.000007252764,"domain_scores_codex":[0.9980528,0.0001424351,0.0006280644,0.000689796,0.00009279387,0.0003940475],"domain_scores_gemma":[0.9973665,0.001510514,0.0002966163,0.0005547623,0.00007389623,0.000197728],"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":[0.00001362662,0.000114569,0.001812006,0.00007320531,0.0001228508,0.000005484183,0.0001341764,0.002483624,0.0003688812,0.8458605,0.001047565,0.1479635],"study_design_scores_gemma":[0.0001565032,0.00001768522,0.002338348,0.00001041085,0.0000421128,0.000001129665,0.00002749428,0.5734644,0.000172631,0.4204771,0.003100469,0.0001917681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001231378,0.0003435153,0.9917502,0.0001724293,0.000124539,0.0004408051,0.002587526,0.0001319885,0.003217564],"genre_scores_gemma":[0.1473431,0.0002178647,0.8503632,0.0001455808,0.0001788955,0.0004773758,0.0007934296,0.00004832418,0.000432182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5709807,"threshold_uncertainty_score":0.9997957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472475540352113,"score_gpt":0.3916348604904966,"score_spread":0.2443873064552853,"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."}}