{"id":"W6929338111","doi":"10.48448/b970-en40","title":"End-to-End Training of Neural Retrievers for Open-Domain Question Answering","year":2021,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Question answering; Task (project management); Artificial neural network; Training set; Salient; Supervised learning; Unsupervised learning; Training (meteorology)","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":[],"consensus_categories":[],"category_scores_codex":[0.003218717,0.001988681,0.001122767,0.001285561,0.0005775795,0.001238934,0.002884609,0.002639573,0.01011526],"category_scores_gemma":[0.009365397,0.0005814504,0.001218727,0.0008608953,0.0007370527,0.003619079,0.001953715,0.002982843,0.007681073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009644975,"about_ca_system_score_gemma":0.0009617538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003663656,"about_ca_topic_score_gemma":0.007402535,"domain_scores_codex":[0.9986529,0.000392339,0.0001019806,0.0005302573,0.0001800313,0.0001424601],"domain_scores_gemma":[0.9964227,0.002074249,0.0001848677,0.0006075666,0.0005598507,0.0001507542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009988559,0.001272275,0.006144297,0.0008685493,0.0003208096,0.0003799926,0.0006387525,0.07497577,0.03060544,0.003125099,0.02855398,0.8521162],"study_design_scores_gemma":[0.0001553543,0.0007453445,0.002145326,0.0000833857,0.0001300351,0.0003098979,0.0003561186,0.94291,0.03493141,0.006776902,0.01141042,0.00004571143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2517604,0.004375244,0.6578514,0.001255449,0.0004626406,0.0008592818,0.002665862,0.06418268,0.016587],"genre_scores_gemma":[0.6085245,0.0007609486,0.3522561,0.00147903,0.0002228559,0.0008416626,0.01454317,0.001684682,0.01968704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01011526,"threshold_uncertainty_score":0.03383893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278417251376176,"score_gpt":0.3366154513469272,"score_spread":0.2938312788331654,"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."}}