{"id":"W4396839026","doi":"10.1007/978-3-031-51609-2_7","title":"High-Dimensional and Panel Data","year":2023,"lang":"en","type":"book-chapter","venue":"Springer series in statistics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Panel data; Computer science; Geology; Econometrics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002951331,0.0002574727,0.0006357692,0.0002897382,0.00006380288,0.00007358205,0.0004012528,0.0001984742,0.0009486331],"category_scores_gemma":[0.0001492237,0.0003123768,0.0000294761,0.00006027264,0.0001553065,0.0001658959,0.0007774175,0.0002860217,0.0008412114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003766693,"about_ca_system_score_gemma":0.00002464246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122481,"about_ca_topic_score_gemma":0.001836369,"domain_scores_codex":[0.9983554,0.000004316913,0.0006597812,0.0006921424,0.00006798458,0.0002203913],"domain_scores_gemma":[0.998614,0.00009703897,0.0003072639,0.0008848804,0.00002648306,0.00007030831],"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":[0.00001446417,0.000006773277,0.001095917,0.00007264123,0.00008851911,0.0001005376,0.00004176735,0.00003150953,2.679782e-7,0.9860823,0.009180483,0.003284835],"study_design_scores_gemma":[0.0002314717,0.00004095386,0.008118073,0.00007072582,0.00005035854,0.000005958377,0.000007892347,0.00186462,4.871089e-7,0.5658462,0.4231946,0.0005687191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009121366,0.01223987,0.03599062,0.001920466,0.009382873,0.00112515,0.6194147,0.0004347162,0.3185794],"genre_scores_gemma":[0.004773311,0.01286504,0.04423832,0.0004226636,0.0007316911,0.00001779105,0.02251446,0.0002826789,0.9141541],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5969003,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1170223037433865,"score_gpt":0.248970331930145,"score_spread":0.1319480281867585,"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."}}