{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068973,0.0004933663,0.0004716006,0.004859663,0.001034371,0.006939729,0.0008544502,0.003414568,0.01430241],"category_scores_gemma":[0.02180155,0.0001982999,0.0005868493,0.00372315,0.002060324,0.007955075,0.001723245,0.002177953,0.002532741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003581933,"about_ca_system_score_gemma":0.004597751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770407,"about_ca_topic_score_gemma":0.002423448,"domain_scores_codex":[0.9924244,0.003312545,0.0003961906,0.0004618351,0.002962471,0.0004425755],"domain_scores_gemma":[0.9862795,0.008588018,0.001347396,0.0006785121,0.002766879,0.0003396649],"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":[0.00003502049,0.00004467415,0.0008081344,0.001980379,0.00004754935,0.0002940536,0.0004318843,0.001132938,0.0009104826,0.439031,0.0576711,0.4976126],"study_design_scores_gemma":[0.00001696302,0.00008955193,0.001871894,0.002652274,0.00004013525,0.0002639085,0.0004396785,0.0007339145,0.00160063,0.05109025,0.9411736,0.00002717728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01396938,0.4814867,0.019636,0.08701112,0.007482066,0.0002767503,0.0002490144,0.0002255774,0.3896633],"genre_scores_gemma":[0.3862423,0.511448,0.01393307,0.01498096,0.008814386,0.0002572493,0.0003049776,0.00006520216,0.06395403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01430241,"threshold_uncertainty_score":0.04784632,"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."}}