{"id":"W4398953169","doi":"10.7910/dvn/rhlaik","title":"Lijphart Elections Archive: Lijphart Country Catalog: Lithuania","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"European Politics and Security","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001814487,0.001054975,0.001916223,0.01330448,0.002186286,0.008423912,0.002107589,0.0009173939,0.5006039],"category_scores_gemma":[0.006336495,0.001090189,0.0006494722,0.02857517,0.0006520182,0.003859482,0.002901059,0.001435157,0.5074388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226796,"about_ca_system_score_gemma":0.007901081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01899743,"about_ca_topic_score_gemma":0.01928267,"domain_scores_codex":[0.9980342,0.0002419338,0.0003462264,0.0002606723,0.0007938523,0.0003232545],"domain_scores_gemma":[0.995847,0.0003467981,0.0004514312,0.001097923,0.001845647,0.0004111182],"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":[0.00006019864,0.00002409352,0.0005258754,0.000471309,0.000007355078,0.00003381316,0.00007496279,0.00007092437,0.00007135748,0.00292706,0.9584772,0.03725586],"study_design_scores_gemma":[0.000008141225,0.000005734637,0.001353544,0.0001189308,0.000002778609,0.00001471068,0.00004088076,0.00002148879,0.00007964865,0.0002501071,0.9980963,0.000007694891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001509054,0.003242307,0.0007026949,0.0009195139,0.001409155,0.0003395911,0.5807134,0.006952161,0.4042121],"genre_scores_gemma":[0.007117002,0.004666582,0.002150978,0.0005223349,0.000528321,0.0007501976,0.4991031,0.004283829,0.4808777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5006039,"threshold_uncertainty_score":0.712328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975019071766618,"score_gpt":0.2831906096971612,"score_spread":0.263440418979495,"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."}}