{"id":"W2131002853","doi":"10.1016/j.jengtecman.2010.06.003","title":"An empirical examination of the science–technology relationship in the biotechnology industry","year":2010,"lang":"en","type":"article","venue":"Journal of Engineering and Technology Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mechanism (biology); Empirical examination; Industrial organization; Empirical evidence; Business; Sociology of scientific knowledge; Knowledge management; Computer science; Sociology; Epistemology; Social science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004641141,0.0001772406,0.0002360271,0.003113861,0.001755719,0.003188301,0.0008520226,0.001566447,0.01044324],"category_scores_gemma":[0.04375071,0.0002514058,0.0003169018,0.003798281,0.00270858,0.003732435,0.002495236,0.001937434,0.0005966116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475333,"about_ca_system_score_gemma":0.002730324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005373886,"about_ca_topic_score_gemma":0.009662041,"domain_scores_codex":[0.9975057,0.001401652,0.0001961742,0.0001632925,0.0004900118,0.0002431223],"domain_scores_gemma":[0.8239841,0.1478549,0.01878959,0.001754746,0.00473148,0.002885246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000292814,0.001688802,0.9557641,0.0001223896,0.0000976439,0.0006683893,0.00677218,0.0004804521,0.0006388653,0.018422,0.0006562695,0.01439614],"study_design_scores_gemma":[0.00005952441,0.0003322634,0.9381247,0.0001440281,0.0001033972,0.0003882278,0.04672811,0.002631167,0.0005835153,0.005137029,0.005746876,0.00002109656],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895405,0.0003020803,0.0001314992,0.001177857,0.000005282238,0.00001442885,0.00003939379,0.000001766477,0.008787173],"genre_scores_gemma":[0.9990582,0.0002058821,0.00006163546,0.00009157089,0.000009786554,0.000006806538,0.000051353,0.00000124562,0.0005135402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9982443,"threshold_uncertainty_score":0.03493613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426429938528644,"score_gpt":0.2475749545265669,"score_spread":0.2333106551412804,"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."}}