{"id":"W2038567765","doi":"10.1109/memb.2007.364933","title":"The expanding world of prior art [Patents]","year":2007,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"License; Engineering; Common ground; Ground floor; Forensic engineering; Mechanical engineering; Civil engineering; Law; Political science","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":[0.006343936,0.0008777974,0.001257589,0.004472299,0.002977005,0.01421183,0.003643127,0.007806476,0.1659198],"category_scores_gemma":[0.03988504,0.0005352471,0.001054199,0.006318108,0.0059347,0.01351089,0.003503495,0.007455871,0.07154901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004169803,"about_ca_system_score_gemma":0.007487651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004502507,"about_ca_topic_score_gemma":0.004358544,"domain_scores_codex":[0.9914863,0.001289954,0.0005362715,0.001071763,0.004759433,0.0008562511],"domain_scores_gemma":[0.9714883,0.009767123,0.001946045,0.005227233,0.008864898,0.002706298],"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":[0.0000257586,0.00003615989,0.0002743274,0.0005690637,0.00001736844,0.0005813075,0.0002415732,0.000196559,0.0004061463,0.1796004,0.5647495,0.2533018],"study_design_scores_gemma":[0.000003875458,0.00000949794,0.0001343903,0.0004130711,0.000004605962,0.0003254556,0.00005211293,0.00006086323,0.00008923046,0.01541672,0.9834787,0.00001161418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001340644,0.04878277,0.006303978,0.06838182,0.01068055,0.0001061469,0.001127717,0.001022014,0.8622543],"genre_scores_gemma":[0.09159465,0.1668852,0.0160293,0.1158664,0.02889734,0.0004892978,0.005692377,0.001476355,0.5730691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1659198,"threshold_uncertainty_score":0.555057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09604390753372043,"score_gpt":0.2683153500277526,"score_spread":0.1722714424940321,"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."}}