{"id":"W2066193292","doi":"10.1007/s11749-010-0229-8","title":"Comments on: Nonparametric inference based on panel count data","year":2010,"lang":"en","type":"article","venue":"Test","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Inference; Count data; Nonparametric statistics; Panel data; Computer science; Econometrics; Statistics; Mathematics; Artificial intelligence; Poisson distribution","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":[0.01742506,0.001696948,0.00299034,0.003648735,0.004277918,0.003734258,0.008287647,0.03844049,0.02294498],"category_scores_gemma":[0.18159,0.001287875,0.003722607,0.004025584,0.007537119,0.007005862,0.002960739,0.03208203,0.0159857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005394452,"about_ca_system_score_gemma":0.004556375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0628306,"about_ca_topic_score_gemma":0.03924508,"domain_scores_codex":[0.9829621,0.005121296,0.003390045,0.002512916,0.004902115,0.001111445],"domain_scores_gemma":[0.8387068,0.1025218,0.006314432,0.006302583,0.04394386,0.002210468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006263014,0.00002087057,0.0005102053,0.0001098097,0.00003949796,0.0002742732,0.0001598525,0.0002327549,0.0001494992,0.003740025,0.990721,0.003979572],"study_design_scores_gemma":[0.0003166252,0.00006921245,0.01209692,0.001271362,0.0002859391,0.000938155,0.001064067,0.006084066,0.001401491,0.0533995,0.9224752,0.0005974242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005834911,0.001270489,0.002156066,0.940935,0.05055727,0.00008353036,0.001136235,0.000232853,0.003045013],"genre_scores_gemma":[0.005322223,0.0008135331,0.00317887,0.9187707,0.06388926,0.000185789,0.0002216321,0.0001674154,0.007450585],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0628306,"threshold_uncertainty_score":0.1249298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500560824843542,"score_gpt":0.2840522592102637,"score_spread":0.1339961767259095,"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."}}