{"id":"W1483269883","doi":"","title":"E-Discovery and Beyond: Toward Brave New World or 1984 ?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Focus (optics); Reflection (computer programming); History; Political science; Data science; Law and economics; Computer 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":[0.01069275,0.0007093468,0.0009282265,0.002909385,0.007083418,0.03409497,0.002086363,0.0140724,0.02280692],"category_scores_gemma":[0.02300316,0.0003683575,0.0007083531,0.003412482,0.03156871,0.08085963,0.008722068,0.01578993,0.006456019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007844287,"about_ca_system_score_gemma":0.009050246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004298425,"about_ca_topic_score_gemma":0.007948151,"domain_scores_codex":[0.9931579,0.00291816,0.0003585918,0.0006409306,0.001942702,0.0009816531],"domain_scores_gemma":[0.9836749,0.00842325,0.0009967369,0.001482355,0.003230075,0.002192686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002486265,0.00002696471,0.0001940108,0.0001485543,0.00000474458,0.00007800815,0.001946158,0.00004397108,0.00007904755,0.7775105,0.1811956,0.0387476],"study_design_scores_gemma":[0.000004155216,0.00001475261,0.0001960893,0.0006508116,0.000003137946,0.00009724788,0.005335278,0.00009082644,0.00006827068,0.2699125,0.7236091,0.00001789334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001359628,0.08516851,0.002565112,0.820515,0.01094904,0.00001192243,0.00005564868,0.00008183844,0.07929324],"genre_scores_gemma":[0.191352,0.2582954,0.00815231,0.3715952,0.02607764,0.0001246082,0.0002325869,0.0003737136,0.1437965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03409497,"threshold_uncertainty_score":0.07629675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557378450185139,"score_gpt":0.3145585916613413,"score_spread":0.2889848071594899,"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."}}