{"id":"W2059039252","doi":"10.7202/044290ar","title":"A primer on patent and innovation","year":2010,"lang":"en","type":"article","venue":"Management international","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primer (cosmetics); Business; Patent analysis; Political science; Library science; Computer science; Data science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003609498,0.001102733,0.001065405,0.006195655,0.001993995,0.006799145,0.001566789,0.010167,0.02325555],"category_scores_gemma":[0.007898794,0.0006053051,0.0008605857,0.005753055,0.007519629,0.02268561,0.003035481,0.009111308,0.007481813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002614467,"about_ca_system_score_gemma":0.002836291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802787,"about_ca_topic_score_gemma":0.002377781,"domain_scores_codex":[0.9968547,0.001195786,0.0002784866,0.0003157019,0.001119424,0.0002359726],"domain_scores_gemma":[0.9882162,0.009700011,0.000404079,0.0003114078,0.001003054,0.0003652021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002774008,0.00005624713,0.0001583167,0.0008088745,0.00001150452,0.0002971581,0.001509018,0.000225063,0.0003852539,0.4303325,0.3994913,0.1666971],"study_design_scores_gemma":[0.000002920364,0.00001196615,0.000102284,0.0005772396,0.000001746712,0.0002265182,0.0002141178,0.00004145095,0.00005321686,0.07011555,0.9286464,0.000006511023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0003489255,0.7293754,0.007595174,0.1387198,0.01802415,0.00004684386,0.0001770536,0.00008377679,0.1056288],"genre_scores_gemma":[0.01868658,0.686545,0.01046402,0.09743181,0.04127324,0.0002264439,0.0003630444,0.000170329,0.1448395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02325555,"threshold_uncertainty_score":0.07779759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1190143006418106,"score_gpt":0.2395497571190895,"score_spread":0.1205354564772789,"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."}}