{"id":"W4398629401","doi":"10.7910/dvn/n05yzy","title":"Lijphart Elections Archive: Lijphart Country Catalog: Switzerland","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[0.002558462,0.001625547,0.001954021,0.01255185,0.002396448,0.009111811,0.002409298,0.001179767,0.6143769],"category_scores_gemma":[0.01085543,0.001283213,0.0007440725,0.0287872,0.0007224128,0.005939059,0.002685845,0.002139821,0.6306044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523147,"about_ca_system_score_gemma":0.006598468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556778,"about_ca_topic_score_gemma":0.02452432,"domain_scores_codex":[0.9969805,0.0003623844,0.0004245551,0.0004298028,0.001423658,0.0003790201],"domain_scores_gemma":[0.9923879,0.0007830099,0.0007024514,0.00197914,0.003578454,0.0005689894],"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":[0.00003366166,0.00001642549,0.0002470527,0.0002233575,0.000004641051,0.00001615955,0.00004099772,0.00008397485,0.00005988183,0.002402939,0.9769874,0.01988355],"study_design_scores_gemma":[0.00001125956,0.000006452627,0.0009535605,0.0001004596,0.000002785576,0.0000145003,0.00002883313,0.00005076129,0.00009434466,0.0004204322,0.9983038,0.00001272557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006872241,0.001781645,0.0009972781,0.0008975726,0.001052279,0.0002677456,0.6668369,0.007467933,0.3200115],"genre_scores_gemma":[0.005440055,0.003299622,0.002386132,0.0003867613,0.0006299706,0.0007975913,0.619561,0.006639151,0.3608597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6143769,"threshold_uncertainty_score":0.5500445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975749740992943,"score_gpt":0.3187602667029394,"score_spread":0.2890027692930099,"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."}}