{"id":"W3215577199","doi":"","title":"Foreword: Diversifying Intellectual Property","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Intellectual property; Scholarship; Diversity (politics); Political science; Property (philosophy); Field (mathematics); Law and economics; Property law; Politics; International law; Law; Sociology; Property rights; Epistemology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001745809,0.0002137229,0.000193632,0.000256885,0.0004159343,0.0002381119,0.0004810556,0.00008843059,0.0003250978],"category_scores_gemma":[0.0007559486,0.0001310472,0.0001245779,0.0004069565,0.00005851546,0.001256708,0.0001964146,0.001535455,0.002658942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004904231,"about_ca_system_score_gemma":0.0006764618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005519895,"about_ca_topic_score_gemma":0.0004379576,"domain_scores_codex":[0.9970494,0.00002530087,0.0002750393,0.0002249965,0.0004074785,0.002017798],"domain_scores_gemma":[0.9993008,0.00003211,0.0001477739,0.0001427841,0.0003388973,0.00003767453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004118253,0.0008956073,0.01817998,0.0001830168,0.001282843,0.0001256804,0.005394653,0.0007111885,0.0005391086,0.3057048,0.2534388,0.4094261],"study_design_scores_gemma":[0.003380566,0.0005066432,0.00009244394,0.0001223377,0.0001877755,0.0006233543,0.01638935,0.01595072,0.000129443,0.2884441,0.673098,0.001075338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440305,0.003300105,0.03771383,0.00449376,0.003955275,0.0008176876,0.000002723959,0.0004867019,0.2051994],"genre_scores_gemma":[0.9808188,0.0001773902,0.00003514966,0.00124492,0.002018791,0.000003919251,0.000006755765,0.00003664963,0.01565762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4196592,"threshold_uncertainty_score":0.9981176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1293967258568245,"score_gpt":0.2265398713781915,"score_spread":0.09714314552136702,"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."}}