{"id":"W4398375444","doi":"10.7910/dvn/cvlgqw/dmp6id","title":"Senate-34.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","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":[0.0008693389,0.002697351,0.001796694,0.004854602,0.0007795696,0.003368703,0.002665116,0.00199444,0.2434048],"category_scores_gemma":[0.00478277,0.0009304513,0.001364348,0.01031293,0.0005549007,0.002229718,0.002169348,0.001661905,0.279368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789745,"about_ca_system_score_gemma":0.002163455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03403379,"about_ca_topic_score_gemma":0.05371056,"domain_scores_codex":[0.9992332,0.0001559241,0.00006885879,0.0002553605,0.0001215941,0.0001649545],"domain_scores_gemma":[0.9980422,0.0004958596,0.0001976502,0.0004892268,0.0005191908,0.0002558308],"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":[0.00002933193,0.000006827209,0.0002223544,0.000260265,0.00001608053,0.000006351327,0.000007613492,0.00007977589,0.00002849637,0.0002138469,0.9984654,0.0006636227],"study_design_scores_gemma":[0.000236961,0.00001946874,0.002555753,0.0003257528,0.00002846561,0.00003916898,0.00007622314,0.0002495305,0.0002487089,0.001023223,0.9951656,0.00003116171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004702926,0.00005033647,0.00001647089,0.00005012272,0.00002404075,0.000002410128,0.9989527,0.0002370186,0.0006198382],"genre_scores_gemma":[0.0003687578,0.00006432146,0.00006919156,0.00005973623,0.00001209594,0.00002591138,0.99824,0.0001333133,0.001026685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7565951,"threshold_uncertainty_score":0.8142703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390721743903509,"score_gpt":0.2546402852707198,"score_spread":0.2307330678316847,"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."}}