{"id":"W7032507341","doi":"","title":"Concurrent Damages","year":2014,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Damages; Hacker; Statutory law; Intrusion; Espionage; Compensation (psychology); Accidental","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001813176,0.0001642742,0.0002498027,0.00002736027,0.0003427573,0.0005621347,0.0002124443,0.00003567918,0.02301471],"category_scores_gemma":[0.00004521622,0.0001254229,0.0001184037,0.00002594522,0.0001974744,0.00028053,0.00007061743,0.0001063311,0.002677242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002632954,"about_ca_system_score_gemma":0.000007347748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739846,"about_ca_topic_score_gemma":0.007544554,"domain_scores_codex":[0.9990008,0.00008813089,0.0002437271,0.0002337251,0.0001866579,0.0002469025],"domain_scores_gemma":[0.9993787,0.00003920961,0.00007883785,0.0002782136,0.00009746476,0.0001275158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000350327,0.00003721225,0.00009455492,0.00003431359,0.00004392451,0.000003029204,0.001514544,0.000004020484,0.001866866,0.9809936,0.01216324,0.003241242],"study_design_scores_gemma":[0.0002318029,0.00004637271,0.0001576205,0.00002565956,0.00004523102,0.000001107452,0.0005095555,0.00005204352,0.0008807116,0.002299208,0.9955319,0.0002187464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267868,0.0004075298,0.0000388685,0.0009509394,0.00197548,0.0001795265,0.00006688352,0.0003276094,0.3692664],"genre_scores_gemma":[0.9766443,0.00001289927,0.00004768754,0.0008672627,0.001612617,0.00001707043,0.00004077692,0.00001968422,0.02073772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9833687,"threshold_uncertainty_score":0.9980993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641847589274863,"score_gpt":0.2387785634513065,"score_spread":0.2123600875585578,"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."}}