{"id":"W3151255772","doi":"10.22215/timreview856","title":"Turning Technology into Business Using University Patents","year":2014,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Field (mathematics); Engineering ethics; Emerging technologies; Business; Engineering management; Engineering; Political science; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002073783,0.000130231,0.000186793,0.001156144,0.00006316957,0.000006234611,0.0002485471,0.000156073,0.00002663457],"category_scores_gemma":[0.00004860325,0.0001363405,0.0000144545,0.006904764,0.00006726594,0.00008874445,0.00008857738,0.0001802568,0.00005632469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099228,"about_ca_system_score_gemma":0.00000530349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002324395,"about_ca_topic_score_gemma":3.783437e-7,"domain_scores_codex":[0.9993078,0.000008052823,0.0002426014,0.000169308,0.00009135305,0.0001808952],"domain_scores_gemma":[0.9995198,0.000004958541,0.00005723941,0.0002849493,0.0001181831,0.00001485854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001065026,0.00003676917,0.0008782879,0.01216289,0.0001117708,0.000007639781,0.000008949196,0.001522117,0.003990152,0.2567531,0.003961416,0.7205658],"study_design_scores_gemma":[0.000467754,0.00002609686,0.001804594,0.005243829,0.000165172,0.00002215193,0.00008062962,0.01745866,0.0006371288,0.01273369,0.9607481,0.0006121645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124915,0.01150605,0.8369014,0.01416498,0.001292994,0.0008514794,0.000001573761,0.005580841,0.004785685],"genre_scores_gemma":[0.9116067,0.02243741,0.06468333,0.0006109076,0.00009192356,0.00003656287,0.00008875528,0.00006435084,0.0003801301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9567867,"threshold_uncertainty_score":0.5559803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085730312994702,"score_gpt":0.2208426543887267,"score_spread":0.2099853512587797,"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."}}