{"id":"W4398276026","doi":"10.7910/dvn/cvlgqw/frhf5q","title":"House-40.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Parliament; Division (mathematics); House of Representatives; Political science; Law; Arithmetic; Mathematics; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001229017,0.002482665,0.001659212,0.004579899,0.0008453671,0.004390533,0.003292086,0.002441793,0.2760508],"category_scores_gemma":[0.007225133,0.0009718303,0.001425906,0.00884116,0.000540018,0.00218291,0.002572117,0.002107132,0.3183297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659276,"about_ca_system_score_gemma":0.002265835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955066,"about_ca_topic_score_gemma":0.02931981,"domain_scores_codex":[0.9989171,0.0002077717,0.0001154583,0.000330944,0.0002016525,0.0002270691],"domain_scores_gemma":[0.9975829,0.0006308905,0.0002469846,0.0006765143,0.0005007503,0.0003618762],"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":[0.0000248921,0.000008564823,0.000211814,0.000277815,0.00001315675,0.000005975613,0.000008697873,0.00008527962,0.00003005946,0.0004050083,0.9980636,0.0008652429],"study_design_scores_gemma":[0.0002428682,0.00001374415,0.001586928,0.0002960639,0.0000171825,0.00002146566,0.00004661682,0.0002530838,0.0001739373,0.001560721,0.9957688,0.00001856069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003445873,0.00003333131,0.00002636842,0.00004710624,0.0000215237,0.000004306066,0.9987564,0.0002781083,0.0007984321],"genre_scores_gemma":[0.0002825727,0.00005451618,0.0001185535,0.00006983554,0.00001200937,0.00004174837,0.9982952,0.0001509268,0.0009746475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7239492,"threshold_uncertainty_score":0.9234818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780168800862979,"score_gpt":0.282435069280784,"score_spread":0.2546333812721542,"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."}}