{"id":"W7116984786","doi":"10.15456/jae.2025346.1747495551","title":"Estimating Interaction Effects with Panel Data (replication data)","year":2025,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Code (set theory); Term (time); Estimation; Panel data; Data modeling; Interaction","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01527713,0.001157908,0.001454426,0.001972828,0.001005027,0.0018184,0.002348822,0.001434628,0.2211296],"category_scores_gemma":[0.09393845,0.000879447,0.002810772,0.004389643,0.0003901357,0.001006492,0.002243781,0.002615023,0.06348576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008488719,"about_ca_system_score_gemma":0.002660982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123434,"about_ca_topic_score_gemma":0.03215516,"domain_scores_codex":[0.9882562,0.007550881,0.0006728458,0.001765667,0.001096851,0.000657628],"domain_scores_gemma":[0.9524012,0.02273786,0.003423932,0.01637436,0.004324274,0.0007383459],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003253867,0.0001911558,0.02834155,0.0009716185,0.000855415,0.000192947,0.0004072141,0.003250383,0.0003432876,0.007424391,0.9127012,0.04499535],"study_design_scores_gemma":[0.001600694,0.000458157,0.1194495,0.001120155,0.001680388,0.0003569596,0.0008708848,0.008058514,0.002153271,0.02734519,0.8366833,0.0002230427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01513985,0.0004118464,0.0506715,0.001124303,0.0005367669,0.001393836,0.9083775,0.004361045,0.01798331],"genre_scores_gemma":[0.09695187,0.0003202434,0.1026137,0.001221313,0.0003458574,0.01066299,0.7317185,0.005209813,0.05095555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9847229,"threshold_uncertainty_score":0.7397524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625632369227394,"score_gpt":0.4189601219313462,"score_spread":0.2563968850086068,"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."}}