{"meta":{"query_hash":"f51e86d62f07","filters":{"venue":"Physica eBooks"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f51e86d62f07","api":"https://metacan.xera.ac/api/v1/cohort?venue=Physica+eBooks"},"results":[{"id":"W583086315","doi":"","title":"Panel data : theory and applications","year":2004,"lang":"en","type":"book","venue":"Physica eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Panel data; Econometrics; Random effects model; Heteroscedasticity; Estimator; Economics; Mathematics; Statistics","score_opus":0.07351823027019981,"score_gpt":0.239177656585978,"score_spread":0.16565942631577818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W583086315","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011183926,0.00067860214,0.004618114,0.00013172213,0.000075051204,0.00033728406,0.0012964532,0.00006050621,0.99279106],"genre_scores_gemma":[0.015123006,0.00004065018,0.00021389242,0.0008027686,0.00073065853,0.00009501822,0.0010639871,0.00007153433,0.9818585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887383,0.0000060904645,0.0003579223,0.00057767634,0.000029987488,0.00015449984],"domain_scores_gemma":[0.9984914,0.00005937726,0.00031759084,0.0010601653,0.000022911036,0.000048540653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027322044,0.00019255768,0.0003490663,0.0001336334,0.00009681869,0.000062897416,0.0004742664,0.00013188098,0.000082777966],"category_scores_gemma":[0.0000148255485,0.00023119316,0.00004822912,0.00003709877,0.00014662925,0.00007218374,0.0002507865,0.0002494775,0.000663572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031389784,0.000017020968,0.000005692381,0.000055398792,0.00004887202,5.0144735e-7,0.00010513449,2.950302e-7,0.0000020338896,0.9867372,0.007341545,0.0056832023],"study_design_scores_gemma":[0.000102981685,0.0000058794453,0.000053251,0.000011871835,0.0000065390564,7.027746e-7,0.0000026669331,0.000009724513,0.0000034312313,0.49750057,0.50216085,0.00014153864],"about_ca_topic_score_codex":0.000010639434,"about_ca_topic_score_gemma":0.0000026722391,"teacher_disagreement_score":0.4948193,"about_ca_system_score_codex":0.00010618882,"about_ca_system_score_gemma":0.00015428469,"threshold_uncertainty_score":0.94277835},"labels":[],"label_agreement":null}]}