{"id":"W2258332019","doi":"","title":"An Introduction to Rights Expression Languages","year":2007,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Expression (computer science); Computer science; Political science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001062689,0.0002346,0.0002058273,0.0001973588,0.0005667994,0.00167682,0.003803881,0.00006992208,0.00004358091],"category_scores_gemma":[0.00002484973,0.0001482762,0.00004608016,0.0012298,0.00007291578,0.001461855,0.001391963,0.0001195389,0.0001905855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004638908,"about_ca_system_score_gemma":0.00001608689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002578583,"about_ca_topic_score_gemma":0.0002920874,"domain_scores_codex":[0.9978983,0.0001004422,0.0002931418,0.0007141326,0.000513043,0.0004809187],"domain_scores_gemma":[0.997862,0.00007626936,0.0001285327,0.001588885,0.0001467577,0.0001975946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005893063,0.001356278,0.000491155,0.00007825626,0.00007718518,0.0002864879,0.01766134,0.005277698,0.01319963,0.1525605,0.2189095,0.5895126],"study_design_scores_gemma":[0.0002387678,0.00004721107,0.005451529,0.00001871832,0.000006295142,0.00001217467,0.0002292639,0.0008951114,0.001808561,0.001482828,0.9895254,0.000284087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1399875,0.00005194782,0.7925338,0.005850314,0.000379757,0.0009271753,0.000001649449,0.0005577719,0.05971004],"genre_scores_gemma":[0.978464,6.761574e-7,0.004070864,0.001369648,0.001196787,0.00002048536,0.00002091503,0.00002737044,0.01482924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8384765,"threshold_uncertainty_score":0.9993595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031470053809848,"score_gpt":0.2603076257534223,"score_spread":0.2499929252153238,"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."}}