{"id":"W4247727407","doi":"10.1007/978-1-4939-7131-2_100743","title":"Network Panel Data","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Panel data; Computer science; Econometrics; Economics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006268619,0.0001825261,0.0002489648,0.00001882311,0.0005746011,0.00009320871,0.001076968,0.0006019418,0.03094289],"category_scores_gemma":[0.00003971776,0.0001681852,0.00007423179,0.0000373937,0.0006186794,0.0001356029,0.0004604453,0.00025877,0.003256301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005143321,"about_ca_system_score_gemma":0.0001954156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005974812,"about_ca_topic_score_gemma":0.007246544,"domain_scores_codex":[0.9985354,0.00003190762,0.0001847098,0.0004232118,0.0004333478,0.0003914452],"domain_scores_gemma":[0.9988754,0.0001463784,0.0001154742,0.0006259103,0.00008636718,0.0001504801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002690333,0.000001629643,0.000002554735,0.000001263682,0.00001764568,0.000003009211,0.0009579037,8.306331e-8,7.828661e-9,0.4084604,0.5846118,0.005941021],"study_design_scores_gemma":[0.00002562115,0.00001234003,0.00000486408,0.00002562941,0.00002644607,1.711085e-7,0.000232137,0.000003335088,1.414088e-8,0.2704257,0.7290648,0.0001789631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004348914,0.001518363,0.00004356334,0.0007297799,0.001927212,0.0001880805,0.00003391183,0.0001777578,0.995377],"genre_scores_gemma":[0.0003306045,0.001317835,0.0001966279,0.001169715,0.02188513,0.00000183069,0.0001822076,0.00003433209,0.9748817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.144453,"threshold_uncertainty_score":0.9975198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1718883888424493,"score_gpt":0.3229609801180927,"score_spread":0.1510725912756434,"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."}}