{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00790749,0.0004876781,0.0007261708,0.003109033,0.003039258,0.009656362,0.002379799,0.003208161,0.01091608],"category_scores_gemma":[0.0215211,0.0005052778,0.001034723,0.001525303,0.006965006,0.009115226,0.004978765,0.00272708,0.001857214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005774372,"about_ca_system_score_gemma":0.01199875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934174,"about_ca_topic_score_gemma":0.002299177,"domain_scores_codex":[0.9885055,0.003007096,0.0009598568,0.002954225,0.002984747,0.001588624],"domain_scores_gemma":[0.9855848,0.00508653,0.002016364,0.003568065,0.002714371,0.001029871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004665878,0.00006294568,0.001724781,0.00009798104,0.00003735926,0.0004442153,0.0009644227,0.006099732,0.002039468,0.9472744,0.004010822,0.03719726],"study_design_scores_gemma":[0.00008840362,0.0000890709,0.003421587,0.000159971,0.00007273576,0.0004696691,0.0006858929,0.03903311,0.004316764,0.8421098,0.1094618,0.00009117454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0664609,0.002224709,0.4939683,0.01235561,0.0005282171,0.0008643016,0.0003200635,0.001130168,0.4221478],"genre_scores_gemma":[0.9049398,0.001048425,0.05438953,0.001028886,0.0004024657,0.0005993765,0.0002567241,0.0001794932,0.03715528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940658,"threshold_uncertainty_score":0.04189622,"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."}}