{"id":"W7095481439","doi":"","title":"A COMPARATIVE STUDY OF PATENT INFRINGEMENT REMEDIES RELATED TO NON-PRACTICING ENTITIES IN","year":2014,"lang":"en","type":"article","venue":"","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Commercialization; Patent troll; Jurisdiction; Patent infringement; Patent law; Patience; Work (physics)","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":[0.009163074,0.0001599407,0.0006822314,0.004118573,0.001567413,0.004201935,0.001185249,0.001655991,0.007605053],"category_scores_gemma":[0.1013424,0.0001534987,0.0005731865,0.004401149,0.002057565,0.003078904,0.002112201,0.002201756,0.000566496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003304237,"about_ca_system_score_gemma":0.00210887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007572076,"about_ca_topic_score_gemma":0.00832151,"domain_scores_codex":[0.9871596,0.004008607,0.001136707,0.000927163,0.0049442,0.00182382],"domain_scores_gemma":[0.8390254,0.08548453,0.05300404,0.004240125,0.01438027,0.003865661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002097464,0.001997366,0.7681839,0.0007356603,0.0005729831,0.001908484,0.02158524,0.002048829,0.004146654,0.0635725,0.006020361,0.1271305],"study_design_scores_gemma":[0.00003767806,0.001053951,0.9694821,0.0001190413,0.0001350578,0.000484466,0.01245795,0.0008794169,0.001138189,0.00256634,0.01159688,0.00004888474],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590231,0.002089094,0.0006351955,0.001331379,0.00004101035,0.0001471997,0.0002700755,0.00001832722,0.03644462],"genre_scores_gemma":[0.9976531,0.0002774624,0.0001108847,0.0001181081,0.00002246617,0.00002393718,0.00008901456,0.000004247157,0.001700806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009163074,"threshold_uncertainty_score":0.04845953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.193816911805987,"score_gpt":0.2727061010826104,"score_spread":0.07888918927662336,"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."}}