{"id":"W4236681520","doi":"10.31235/osf.io/2znvb","title":"Our Divided Patent System","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Patent troll; Business; Patent law; Outcome (game theory); Patent infringement; Intellectual property; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003268234,0.0003615646,0.0003716096,0.0002219561,0.0001531702,0.0004897697,0.0005723598,0.0002825148,0.0006379016],"category_scores_gemma":[0.00007499855,0.0002126908,0.0002217339,0.00009658893,0.00001419764,0.0003027896,0.001714977,0.000311897,0.0142262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007800406,"about_ca_system_score_gemma":0.00002787217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045854,"about_ca_topic_score_gemma":0.00002572796,"domain_scores_codex":[0.9983479,0.00001598136,0.0003942578,0.0005177866,0.0003395286,0.0003844831],"domain_scores_gemma":[0.9989526,0.00001443222,0.0002565447,0.0004976219,0.0002641778,0.00001464552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000511469,0.0004120943,0.01137793,0.01656868,0.0009820528,0.0002529937,0.0002113362,0.0002262174,0.0007898442,0.1784388,0.7405547,0.04967386],"study_design_scores_gemma":[0.004742491,0.0000728983,0.004757863,0.01678916,0.001218749,0.00002962837,0.003235823,0.05690859,0.002178114,0.05905831,0.8435273,0.007481072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02954192,0.0001649322,0.01256415,0.003759877,0.01031129,0.001197101,0.00001874614,0.001411688,0.9410303],"genre_scores_gemma":[0.9762306,0.000007213986,0.00003694384,0.001445759,0.003675674,0.00006221363,0.00005449486,0.00005214234,0.01843502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9466886,"threshold_uncertainty_score":0.9865413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2756688658052006,"score_gpt":0.2413439508164517,"score_spread":0.03432491498874893,"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."}}