{"id":"W4284970750","doi":"10.21564/2414-990x.157.256922","title":"Civil-law characteristics of the terms of wrap license agreements","year":2022,"lang":"en","type":"article","venue":"Problems of Legality","topic":"Legal Studies and Reforms","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Licensee; License; Civil code; Intellectual property; Law; Business; Political science; Object (grammar); Ukrainian; Civil law (Civil law); Law and economics; Sociology; Public 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":[],"consensus_categories":[],"category_scores_codex":[0.004155893,0.0002997166,0.000408154,0.002827922,0.004408179,0.00909187,0.001099371,0.002682966,0.01026858],"category_scores_gemma":[0.02376081,0.0004310244,0.0006659393,0.003025271,0.008805439,0.00861813,0.004511067,0.003025842,0.001570893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003257968,"about_ca_system_score_gemma":0.003953653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446479,"about_ca_topic_score_gemma":0.001614931,"domain_scores_codex":[0.9904868,0.00276857,0.0008513432,0.0008433698,0.003518445,0.001531493],"domain_scores_gemma":[0.9849401,0.006462481,0.002793701,0.002637859,0.002412106,0.0007536475],"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":[0.000009372447,0.00001061167,0.0006582869,0.00001194951,0.00000247417,0.00011802,0.0009645958,0.0003734913,0.0001686462,0.9947472,0.000348216,0.002587226],"study_design_scores_gemma":[0.00002336038,0.00005399034,0.003641373,0.0001543502,0.00002266149,0.0008890118,0.003576358,0.005748928,0.000945497,0.9144626,0.07043046,0.00005141272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2396796,0.001605179,0.08591282,0.002219295,0.0001904459,0.000418411,0.0002907201,0.0001888401,0.6694947],"genre_scores_gemma":[0.9679505,0.0004872085,0.009567755,0.0002094496,0.0001385565,0.000372487,0.0001474538,0.00008899708,0.02103759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01026858,"threshold_uncertainty_score":0.03435177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300695079041582,"score_gpt":0.2707453019700831,"score_spread":0.2477383511796672,"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."}}