{"id":"W3084591110","doi":"10.3386/w27803","title":"Linguistic Metrics for Patent Disclosure: Evidence from University Versus Corporate Patents","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Business; Linguistics; Accounting; Psychology; Computer science; Philosophy","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002629493,0.0002564443,0.0005028491,0.0008872469,0.0002718973,0.0001895695,0.0008442306,0.0003048875,0.0006023867],"category_scores_gemma":[0.01368279,0.0002496648,0.0002585548,0.0005709769,0.0001621519,0.0004203419,0.0004850015,0.0005782859,0.0007831305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172618,"about_ca_system_score_gemma":0.001583248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026463,"about_ca_topic_score_gemma":0.0004659829,"domain_scores_codex":[0.9968666,0.00006081211,0.0005553722,0.0006705787,0.001465017,0.0003815943],"domain_scores_gemma":[0.9918952,0.002088635,0.0007825706,0.0002400742,0.004950517,0.00004297838],"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":[0.01825775,0.0007148208,0.02753188,0.005737741,0.003578715,0.0001325706,0.0003752402,0.002204685,0.000280515,0.1336075,0.7982177,0.009360855],"study_design_scores_gemma":[0.005701893,0.0005547213,0.004471504,0.001936449,0.0006856658,0.00000192794,0.0002659471,0.06582217,0.0002791118,0.2305464,0.6880271,0.001707068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02692537,0.002178833,0.0004221459,0.002718301,0.01326971,0.004326301,0.001844929,0.0001535273,0.9481609],"genre_scores_gemma":[0.9871243,0.001034225,0.000143267,0.00004456419,0.004392554,0.00002110039,0.002497566,0.00005663467,0.004685825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9601989,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8697513441641661,"score_gpt":0.4530571413381441,"score_spread":0.416694202826022,"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."}}