{"id":"W2967400214","doi":"10.3968/11144","title":"Coordination of Legal Protection of Algorithms and Intellectual Property System","year":2019,"lang":"en","type":"article","venue":"Canadian social science","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Computer science; Context (archaeology); Algorithm; Contradiction; Promotion (chess); Order (exchange); Object (grammar); Law and economics; Law; Economics; Artificial intelligence; Politics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005720275,0.00007672349,0.0001526231,0.0002039474,0.0002398557,0.00008735976,0.000560345,0.00005478383,0.00001833998],"category_scores_gemma":[0.0001784975,0.00005458011,0.0000291075,0.001017808,0.0006175739,0.0006812626,0.00008546965,0.00008140802,0.00001408916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023357,"about_ca_system_score_gemma":0.0008487192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02369431,"about_ca_topic_score_gemma":0.001360662,"domain_scores_codex":[0.9988891,0.00004639239,0.0001879445,0.0002926626,0.0003211021,0.0002627657],"domain_scores_gemma":[0.9992278,0.00002407264,0.00008527326,0.0001607431,0.0003512685,0.000150895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003465933,0.00008087505,0.001629529,0.0005109939,0.00003506988,0.00000669557,0.03124691,0.00001004788,0.1718208,0.355394,0.004003088,0.4352273],"study_design_scores_gemma":[0.001138284,0.001854331,0.002617318,0.0003260134,0.0000208935,0.00009638946,0.007936527,0.7712871,0.1510257,0.0005217284,0.06213234,0.001043424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5392817,0.0001647184,0.1062491,0.001469924,0.00231132,0.00241009,0.00002255125,0.0001653713,0.3479252],"genre_scores_gemma":[0.9987686,0.000001702434,0.0003982878,0.00004480178,0.0000366155,0.00000611785,2.719856e-7,0.000003640089,0.000739978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.771277,"threshold_uncertainty_score":0.982807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669256452697696,"score_gpt":0.208774935027579,"score_spread":0.1920823705006021,"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."}}