{"id":"W4365138977","doi":"10.1016/j.jeconom.2023.02.010","title":"Social threshold regression","year":2023,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Estimator; Econometrics; Inference; Monte Carlo method; Regression; Regression analysis; Computer science; Statistical inference; Statistics; Multilevel model; Mathematics; Artificial intelligence","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":[0.00249675,0.0004395464,0.000914,0.002162966,0.0009400308,0.001719409,0.001117987,0.001098841,0.02789377],"category_scores_gemma":[0.01499132,0.000263222,0.001010914,0.002346717,0.000717962,0.001605539,0.001355431,0.001749747,0.005597487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354841,"about_ca_system_score_gemma":0.001313789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311796,"about_ca_topic_score_gemma":0.01137601,"domain_scores_codex":[0.9984565,0.0006577186,0.00006470318,0.0003626583,0.0002216465,0.0002368162],"domain_scores_gemma":[0.9949977,0.002293058,0.0004579088,0.001150105,0.0008938051,0.0002073615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003338715,0.0002373608,0.0505752,0.0001975826,0.0005302007,0.0005666279,0.0003660913,0.04374719,0.0008451836,0.5649998,0.08588312,0.2517178],"study_design_scores_gemma":[0.00007149884,0.00009400048,0.03407139,0.000173906,0.0002117449,0.0003757872,0.0003757316,0.5692003,0.001256974,0.3497817,0.04433798,0.00004893009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3325255,0.00638915,0.4829769,0.008573228,0.001656262,0.0002908654,0.007172214,0.002273632,0.1581422],"genre_scores_gemma":[0.9119474,0.001047319,0.02337937,0.0004545929,0.0005030129,0.0001199672,0.003027255,0.0003989346,0.05912211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02789377,"threshold_uncertainty_score":0.09331399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.290586588786649,"score_gpt":0.2803513426643896,"score_spread":0.0102352461222594,"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."}}