{"id":"W2594312497","doi":"","title":"Properly Protecting Code: Solving Copyright and Patent Rights Overlap via Computer Software Suitability in Copyright","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Copyright and Intellectual Property","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Intellectual property; Law and economics; Fair use; Software; Order (exchange); Creativity; Competition (biology); Public domain; Code (set theory); Copyright Act; Copyright law; Exclusive right; Business; Computer science; Law; Economics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01998799,0.0006880233,0.00104979,0.002917836,0.005722384,0.0107387,0.002093511,0.006397083,0.01049006],"category_scores_gemma":[0.09840367,0.0007837778,0.001017545,0.003271586,0.03114733,0.03059637,0.01487376,0.006037719,0.00119796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004307882,"about_ca_system_score_gemma":0.007692819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002923375,"about_ca_topic_score_gemma":0.00266259,"domain_scores_codex":[0.9811881,0.009311601,0.0009300848,0.002174048,0.004604236,0.001791852],"domain_scores_gemma":[0.9233323,0.05618238,0.004956165,0.008664057,0.004901723,0.001963416],"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":[0.00005651853,0.00005936137,0.002844844,0.00007926811,0.00001467448,0.0005606624,0.003281759,0.001979195,0.0007752422,0.9414337,0.00127221,0.04764261],"study_design_scores_gemma":[0.00002686386,0.00004999435,0.001310384,0.0001852028,0.00002411761,0.0003428126,0.001703755,0.005074452,0.001145337,0.9751226,0.01498539,0.00002905748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2573897,0.003094276,0.4285451,0.03916979,0.0004175077,0.0003479091,0.00006836247,0.0002898869,0.2706774],"genre_scores_gemma":[0.9542502,0.0009022121,0.03615664,0.0009567902,0.0002866283,0.0001810413,0.00003612824,0.0001019714,0.00712832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01998799,"threshold_uncertainty_score":0.1057078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503362989032126,"score_gpt":0.1942423524995881,"score_spread":0.1792087226092669,"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."}}