{"id":"W4391040286","doi":"10.1093/oso/9780197624913.002.0003","title":"Copyright Page","year":2022,"lang":"es","type":"other","venue":"","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Excellence; Publishing; Scholarship; License; Political science; Scope (computer science); Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001524498,0.0008708233,0.0009704845,0.00314475,0.002130209,0.01234956,0.00158363,0.002302032,0.8625469],"category_scores_gemma":[0.01035794,0.0006143941,0.000730196,0.004282041,0.001161905,0.005959481,0.002753541,0.002259473,0.7972049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215192,"about_ca_system_score_gemma":0.002979629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004798261,"about_ca_topic_score_gemma":0.004777369,"domain_scores_codex":[0.9980941,0.0001711046,0.0001684795,0.0003124082,0.00105978,0.0001941269],"domain_scores_gemma":[0.9957241,0.0005443261,0.0001537146,0.001436492,0.001730588,0.0004107128],"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":[0.0000169229,0.00001277588,0.00007736473,0.0001383787,0.000002314138,0.00003082055,0.00006218067,0.00001908108,0.0001401979,0.009955983,0.9493093,0.04023469],"study_design_scores_gemma":[0.000002633491,0.000002943166,0.0001286779,0.00006342048,7.236335e-7,0.00001996413,0.00002547514,0.00001033789,0.0000389726,0.0009182753,0.9987859,0.000002558911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002100505,0.0006089234,0.0005664756,0.001748232,0.003900733,0.0001184795,0.008374467,0.0009585147,0.9835141],"genre_scores_gemma":[0.001344598,0.0005849032,0.0003247041,0.0007741935,0.0005422634,0.00006984203,0.005541492,0.0007112463,0.9901068],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1374531,"threshold_uncertainty_score":0.1960601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833556328528695,"score_gpt":0.286581700929491,"score_spread":0.258246137644204,"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."}}