{"id":"W2789669965","doi":"10.1145/3176349.3176873","title":"Redesigning a Document Viewer for Legal Documents","year":2018,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cisco Systems (Canada)","funders":"","keywords":"Due diligence; Computer science; Process (computing); Diligence; Fraction (chemistry); World Wide Web; Information retrieval; Business; Finance","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":[0.01592318,0.001609438,0.001606812,0.005802414,0.001255016,0.006709893,0.003598805,0.001897201,0.0218351],"category_scores_gemma":[0.06144835,0.001583313,0.001256993,0.002655194,0.001232833,0.01011252,0.003490999,0.003907488,0.01471621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500949,"about_ca_system_score_gemma":0.002328987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003538128,"about_ca_topic_score_gemma":0.004150026,"domain_scores_codex":[0.9922924,0.002616225,0.0009214075,0.001566316,0.00231529,0.0002883072],"domain_scores_gemma":[0.938414,0.03247688,0.001892434,0.01330865,0.01177266,0.002135343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001120814,0.0005254799,0.007137788,0.0009868764,0.0002050031,0.001380746,0.00781089,0.002506938,0.03695701,0.01042357,0.1840248,0.74692],"study_design_scores_gemma":[0.0004577348,0.0006111484,0.00681127,0.0005031354,0.0002491799,0.002485276,0.002564079,0.0592934,0.06420586,0.01164261,0.8506962,0.0004800908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02926083,0.001258414,0.6058233,0.003297037,0.001145766,0.002004946,0.005021766,0.3336791,0.01850887],"genre_scores_gemma":[0.1504889,0.001101583,0.7634026,0.001814003,0.0006247566,0.001225251,0.009697484,0.04820989,0.02343554],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0218351,"threshold_uncertainty_score":0.08421087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06306701599088907,"score_gpt":0.423798746887011,"score_spread":0.360731730896122,"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."}}