{"id":"W2466424073","doi":"10.5465/ambpp.2015.16700abstract","title":"\"Academic and Commercial Patent Families: Same Metrics, Different Story\"","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Argument (complex analysis); Scope (computer science); Portfolio; Face (sociological concept); Value (mathematics); Patent portfolio; Marketing; Business; Intellectual property; Sociology; Political science; Computer science; Medicine; Social science; Law; Finance","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00750841,0.0003056111,0.0005771137,0.009654,0.001735041,0.00620007,0.0007393023,0.00105507,0.004348284],"category_scores_gemma":[0.06841662,0.0001987299,0.0004047266,0.009000839,0.00424652,0.01613562,0.003454508,0.001495944,0.0004305384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617766,"about_ca_system_score_gemma":0.0008441335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778938,"about_ca_topic_score_gemma":0.001920225,"domain_scores_codex":[0.9948723,0.001922311,0.000374908,0.0006438529,0.001825948,0.0003606989],"domain_scores_gemma":[0.9142691,0.05823274,0.01586497,0.003088238,0.00522052,0.003324394],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004158823,0.0001377283,0.5479038,0.0004538086,0.0002730952,0.001197241,0.03638504,0.001469392,0.004135632,0.1824898,0.007517386,0.2176211],"study_design_scores_gemma":[0.00002780402,0.000367917,0.7463756,0.0003573559,0.0001682246,0.004277331,0.04146461,0.005832975,0.003080317,0.1344521,0.06342483,0.0001709416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266518,0.004900608,0.01244974,0.008201951,0.0001403994,0.00005239103,0.001118606,0.0001080106,0.04637654],"genre_scores_gemma":[0.9952086,0.0005685285,0.002557782,0.0002131953,0.00008931086,0.00002696457,0.0003107893,0.00004101361,0.0009839155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9924916,"threshold_uncertainty_score":0.03970873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07746257214275047,"score_gpt":0.2656086510533125,"score_spread":0.1881460789105621,"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."}}