{"id":"W6893865401","doi":"10.5281/zenodo.4739940","title":"Vaccines- Intellectual Property vs Commons and Open Science","year":2021,"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; Commons; Presentation (obstetrics); Legal aspects of computing; Open science; Property (philosophy)","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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001133455,0.0001487358,0.0001872581,0.0001763277,0.003685148,0.005222667,0.005176118,0.0000430641,0.005504753],"category_scores_gemma":[0.002931445,0.0001108014,0.00003157881,0.001592211,0.0005186961,0.00143153,0.01379494,0.0002599732,0.002863838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118458,"about_ca_system_score_gemma":0.00004512448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003665496,"about_ca_topic_score_gemma":0.000001568102,"domain_scores_codex":[0.9977593,0.0003350894,0.0002391567,0.0007837372,0.0004291783,0.0004535517],"domain_scores_gemma":[0.9976018,0.00006380852,0.00005743343,0.0008893522,0.00111135,0.0002762315],"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":[0.00008277739,0.0003309107,0.000007274271,0.00005287912,0.00004042003,0.00005114009,0.008740176,0.00001138381,0.02954342,0.03550195,0.5652022,0.3604354],"study_design_scores_gemma":[0.0003950502,0.0003459946,0.0001470176,0.00002918952,0.000004731079,0.000422717,0.0002051502,0.009709738,0.00914894,0.0005409817,0.9788302,0.00022035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02129101,0.0003643158,0.1618812,0.0112974,0.0004966851,0.001258742,0.00005074754,0.001677391,0.8016825],"genre_scores_gemma":[0.9868664,0.0002175624,0.003470486,0.001217258,0.00009987855,1.008212e-7,0.00009562669,0.0005268443,0.007505841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9655754,"threshold_uncertainty_score":0.9979125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0562014116266902,"score_gpt":0.2606924146048467,"score_spread":0.2044910029781564,"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."}}