{"id":"W4398766193","doi":"10.32920/25892956.v1","title":"Book Review: Litigating Artificial Intelligence by Jesse Beatson, Gerold Chan, and Jill R. Presser","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0018993,0.001095578,0.001474077,0.003590937,0.001492025,0.005570918,0.001584328,0.003554192,0.02610193],"category_scores_gemma":[0.008802667,0.0005853846,0.0005836586,0.005967342,0.002005856,0.00430047,0.001557951,0.005396008,0.01943547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00492673,"about_ca_system_score_gemma":0.007104749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458591,"about_ca_topic_score_gemma":0.05362615,"domain_scores_codex":[0.9981393,0.0002819353,0.0001114401,0.0001981537,0.001172919,0.00009628816],"domain_scores_gemma":[0.9930033,0.003231665,0.0002898596,0.0001751048,0.002805716,0.0004942992],"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":[0.000003231679,0.000004358958,0.00001621465,0.0002651248,0.000004309244,0.000008635308,0.00002321217,0.00002983602,0.00002017591,0.002359462,0.9720675,0.02519799],"study_design_scores_gemma":[0.000003064569,0.000004205629,0.00009971371,0.0007476,0.00000400511,0.00005346353,0.00002299618,0.00001920325,0.0000154298,0.00121551,0.9978098,0.00000510092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.00007989783,0.8612201,0.0005391769,0.06987406,0.03645192,0.00003419902,0.0001820534,0.00005767049,0.03156099],"genre_scores_gemma":[0.001177637,0.8236967,0.0009052557,0.03515868,0.02909705,0.00007064881,0.0003547298,0.0001323099,0.1094071],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02610193,"threshold_uncertainty_score":0.08731961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05754907080834884,"score_gpt":0.3807161488501433,"score_spread":0.3231670780417945,"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."}}