{"id":"W1538407099","doi":"10.3386/w18494","title":"Words in Patents: Research Inputs and the Value of Innovativeness in Invention","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"National Institute on Aging","keywords":"Value (mathematics); Business; Mathematics; Statistics","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003269405,0.0004589768,0.000618497,0.01163905,0.0009997588,0.005207164,0.0006554695,0.001403915,0.006618897],"category_scores_gemma":[0.05227218,0.0002165705,0.0006487503,0.02208467,0.003345518,0.008204597,0.001905158,0.001182865,0.0008012246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003119571,"about_ca_system_score_gemma":0.001493884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890039,"about_ca_topic_score_gemma":0.002122204,"domain_scores_codex":[0.9972178,0.0007164037,0.0003477741,0.0002597422,0.001219571,0.0002388009],"domain_scores_gemma":[0.9268612,0.05638635,0.01147391,0.001378157,0.002777608,0.001122811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006591136,0.0004644605,0.4615659,0.001534549,0.000498948,0.001068358,0.003026588,0.02193034,0.005229486,0.2505399,0.005195766,0.2482865],"study_design_scores_gemma":[0.0001262847,0.0003808349,0.5784321,0.0006648981,0.0004188453,0.001382167,0.002472144,0.01761829,0.006051455,0.3672657,0.0250351,0.0001521871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032792,0.007347334,0.01730594,0.004971555,0.0001527547,0.00011771,0.003340025,0.000126317,0.06335903],"genre_scores_gemma":[0.9938081,0.001268586,0.002673505,0.00008786775,0.0001460526,0.00005460715,0.0006206459,0.00001718757,0.001323302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9883609,"threshold_uncertainty_score":0.02263421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9425202320059478,"score_gpt":0.7325894461411707,"score_spread":0.2099307858647771,"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."}}