{"id":"W7106686442","doi":"10.5281/zenodo.17708436","title":"Case Notes: Asian News International (ANI) v. OpenAi","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Reputation; Fair use; Jurisdiction; Order (exchange); Public domain; Copyright Act; Government (linguistics); Digital content; Copyright infringement","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004429086,0.0001380302,0.0001279384,0.0002728338,0.00163993,0.001944985,0.002620502,0.000060358,0.00713455],"category_scores_gemma":[0.001035001,0.0001282621,0.00006074365,0.0007427264,0.0001496628,0.0007206181,0.002763116,0.0002408276,0.006605792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001620122,"about_ca_system_score_gemma":0.00001145028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006029678,"about_ca_topic_score_gemma":0.000001926894,"domain_scores_codex":[0.9983561,0.0002415208,0.0002635159,0.000516863,0.0003020987,0.0003199177],"domain_scores_gemma":[0.9985484,0.00003809309,0.00006369263,0.0006595307,0.0005503093,0.0001399436],"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":[0.00003164618,0.0001591907,0.000002797771,0.00002631356,0.00006551394,0.0002716873,0.002151763,0.00002657637,0.001434785,0.07153747,0.4694326,0.4548596],"study_design_scores_gemma":[0.0003673603,0.0001201853,0.00002459651,0.00002571463,0.000005163663,0.0008221128,0.0001819782,0.008631351,0.0009612457,0.0009952178,0.9877084,0.0001567085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001161107,0.00004541135,0.366541,0.007446527,0.0005471996,0.0003269718,0.00003330279,0.0009016492,0.6229969],"genre_scores_gemma":[0.9863582,0.00007743331,0.003108204,0.00202172,0.0001928473,7.753483e-8,0.0001967046,0.000457318,0.00758749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9851971,"threshold_uncertainty_score":0.9996598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580791746030245,"score_gpt":0.2624146501287716,"score_spread":0.2166067326684691,"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."}}