{"id":"W1519099280","doi":"10.2139/ssrn.1782712","title":"The Rule Against Abstract Claims: History and Principles","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Fredericton","funders":"","keywords":"Law and economics; Computer science; Political science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02637621,0.0009206407,0.002508862,0.003712269,0.008022415,0.01709927,0.005361854,0.02501381,0.008438866],"category_scores_gemma":[0.0633075,0.001156583,0.002189795,0.002655886,0.0535237,0.01732502,0.004928262,0.02857629,0.003248762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004380727,"about_ca_system_score_gemma":0.004969957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005852185,"about_ca_topic_score_gemma":0.004177,"domain_scores_codex":[0.980006,0.005182994,0.001645679,0.005210232,0.006670566,0.001284507],"domain_scores_gemma":[0.9502093,0.03686108,0.001935212,0.005822321,0.004366668,0.0008054716],"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":[0.00001690161,0.00001541335,0.0001139515,0.00003850054,0.00001542198,0.00003751376,0.0002462727,0.0001103669,0.00005923377,0.9888963,0.00536694,0.00508325],"study_design_scores_gemma":[0.00002622209,0.000006176665,0.00007730613,0.00008670511,0.00001239519,0.00003177809,0.00005495288,0.0002993916,0.0001260938,0.9812495,0.01801622,0.00001314592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02654675,0.02500489,0.14879,0.2230412,0.006173457,0.0002165788,0.000514015,0.0003351212,0.5693779],"genre_scores_gemma":[0.782244,0.01075231,0.05598028,0.07330856,0.01620086,0.0008528894,0.0002811488,0.0004045679,0.05997548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02637621,"threshold_uncertainty_score":0.1394925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537679175331308,"score_gpt":0.2054820275727163,"score_spread":0.1701052358194032,"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."}}