{"id":"W4404753918","doi":"10.1016/j.respol.2024.105156","title":"“Meet me at the backdoor”: A multiple case study of academic entrepreneurs bypassing their technology transfer offices","year":2024,"lang":"en","type":"article","venue":"Research Policy","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Cancer Institute; Social Sciences and Humanities Research Council of Canada","keywords":"Backdoor; Technology transfer; Business; Transfer (computing); Marketing; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205428,0.0002086306,0.0002600945,0.001020062,0.000619538,0.0002578365,0.0006170772,0.0001172986,0.0001208148],"category_scores_gemma":[0.0007297714,0.0001268825,0.00009959358,0.002732631,0.0005390728,0.0004905848,0.0008344802,0.0006198628,0.0001227228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008449603,"about_ca_system_score_gemma":0.00008918664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077597,"about_ca_topic_score_gemma":0.004902211,"domain_scores_codex":[0.9977112,0.0001104606,0.0003886766,0.0005065742,0.0005679715,0.000715161],"domain_scores_gemma":[0.9984703,0.0007239687,0.000048293,0.0004878205,0.0002450038,0.00002458915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003315205,0.001230363,0.7027926,0.002002861,0.001164927,0.002647248,0.02854219,0.0007864796,0.03027591,0.05285311,0.03277063,0.1446021],"study_design_scores_gemma":[0.005169039,0.0009280118,0.0212663,0.001812567,0.0004563433,0.0009345842,0.4287934,0.01216639,0.01408077,0.01710724,0.4953792,0.001906164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819972,0.002754912,0.000002867584,0.01188054,0.0001251427,0.000704322,0.00001171649,0.0001591465,0.002364137],"genre_scores_gemma":[0.9980841,0.000285325,0.000001680473,0.0002454894,0.0008849596,0.0001111621,0.000001949952,0.00003239458,0.0003529631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6815263,"threshold_uncertainty_score":0.9958113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045001583205186,"score_gpt":0.3901244796950518,"score_spread":0.2856243213745332,"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."}}