{"id":"W4398515284","doi":"10.7910/dvn/k0oyqf/wy1nfc","title":"senate200","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.001384648,0.004088015,0.001750095,0.007484901,0.001465929,0.003499156,0.002975584,0.002504782,0.1929576],"category_scores_gemma":[0.00838186,0.0009816482,0.001879503,0.01034034,0.0008497916,0.002081332,0.00295818,0.002159895,0.2961985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174787,"about_ca_system_score_gemma":0.00360085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04946439,"about_ca_topic_score_gemma":0.07566001,"domain_scores_codex":[0.9985526,0.0003202647,0.0001247518,0.0003701883,0.0003254772,0.0003066655],"domain_scores_gemma":[0.9965373,0.0007463056,0.0002331951,0.001139526,0.0008946973,0.0004489875],"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":[0.00003333341,0.00001170009,0.0002108077,0.0001718917,0.00001491378,0.000008498952,0.0000104437,0.0001020572,0.00004233999,0.0001829783,0.9981117,0.001099266],"study_design_scores_gemma":[0.0002565301,0.00002363039,0.002380329,0.0002428232,0.00003743279,0.00005442924,0.0001035639,0.0004804007,0.0004007648,0.001409672,0.9945696,0.00004060243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001396412,0.00007700658,0.00004369538,0.000120139,0.0000583218,0.000007125786,0.9977367,0.0006513419,0.001165977],"genre_scores_gemma":[0.0003695171,0.00007624915,0.0001283334,0.00008058963,0.00001462311,0.00002870912,0.9971795,0.0002077749,0.001914677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8070424,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249535952983789,"score_gpt":0.2644696432083415,"score_spread":0.2395160479099626,"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."}}