{"id":"W4393542334","doi":"10.5281/zenodo.4063985","title":"AILA 2019 Precedent &amp; Statute Retrieval Task","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statute; Task (project management); Information retrieval; Computer science; Chemistry; Law; Political science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002278825,0.003250575,0.001833685,0.005710302,0.002633845,0.003768107,0.004730559,0.005760211,0.07184467],"category_scores_gemma":[0.01049126,0.0005854605,0.002758888,0.00416836,0.0007268871,0.00371311,0.003390961,0.003831571,0.1103292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004241932,"about_ca_system_score_gemma":0.00505007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07250777,"about_ca_topic_score_gemma":0.1235605,"domain_scores_codex":[0.9974844,0.0004006223,0.000341633,0.0006661406,0.0007184079,0.0003886372],"domain_scores_gemma":[0.9968824,0.0009302839,0.0001779918,0.0006449659,0.001022895,0.0003414222],"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":[0.0001550588,0.0001353318,0.001046062,0.0005136478,0.00003352371,0.0001830522,0.00003938638,0.0003847083,0.0003466886,0.0005182741,0.9868234,0.009820882],"study_design_scores_gemma":[0.000581511,0.0001636265,0.008398099,0.0006323274,0.00009614492,0.0007148214,0.0006940225,0.009444736,0.002440171,0.003232426,0.9734954,0.0001068338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006276871,0.001408533,0.0009277255,0.001307432,0.0005503694,0.0003612903,0.9717953,0.005156081,0.01221645],"genre_scores_gemma":[0.003477532,0.0001326364,0.00210748,0.0002838919,0.00004672142,0.0002392555,0.9896853,0.0001233832,0.003903906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07250777,"threshold_uncertainty_score":0.2403443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867486587668607,"score_gpt":0.2499966107189358,"score_spread":0.2113217448422497,"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."}}