{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"f9fc568b8312","filters":{"venue":"SMU Law Review"}},"results":[{"id":"W4312873763","doi":"10.25172/smulr.75.3.7","title":"Combatting AI’s Protectionism & Totalitarian-Coded Hypnosis: The Case for AI Reparations & Antitrust Remedies in the Ecology of Collective Self-Determination","year":2022,"lang":"en","type":"article","venue":"SMU Law Review","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Columbia College","funders":"","keywords":"Protectionism; Ecology; Hypnosis; Economics; Law and economics; Political science; Law; International trade; Medicine; Biology","authors":[{"name":"Maurice R. Dyson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05736574209157399,"gpt":0.3230302449040502,"spread":0.2656645028124762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002161768,0.0001347132,0.0003174369,0.00005419776,0.001362383,0.00008728919,0.000662513,0.00004006397,0.00005619774],"category_scores_gemma":[0.0005854131,0.00008246868,0.0001385822,0.0007841502,0.0001524389,0.0002894101,0.0002276129,0.0002864891,0.000008735361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668101,"about_ca_system_score_gemma":0.0002214398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006727889,"about_ca_topic_score_gemma":0.004542616,"domain_scores_codex":[0.9975432,0.001150052,0.0005372171,0.0003386247,0.000212384,0.0002185336],"domain_scores_gemma":[0.9982023,0.0006262936,0.0002408061,0.0006368764,0.0002724028,0.0000213052],"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":[0.00008514848,0.00154481,0.0001005699,0.004761656,0.0003076994,0.00007397139,0.06141775,0.0002846705,0.000530106,0.6727789,0.2369678,0.02114686],"study_design_scores_gemma":[0.0005936656,0.0006896347,0.00006176427,0.0004505086,0.0001525721,0.001562683,0.0003367431,0.02006775,0.0003517783,0.02467811,0.9506989,0.0003558648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02741701,0.0859585,0.3805363,0.3837196,0.00663111,0.06492767,0.0003007062,0.001212969,0.04929615],"genre_scores_gemma":[0.9450637,0.00311779,0.01392333,0.02709722,0.0001742861,0.008804481,0.00003537117,0.00003330735,0.001750543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9176466,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}