{"id":"W4246549027","doi":"10.5912/jcb246","title":"A comparison of R&D indicators for the Vancouver biotechnology cluster","year":2008,"lang":"en","type":"article","venue":"Journal of Commercial Biotechnology","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Administrative Sciences Association of Canada; Simon Fraser University","funders":"Industry Canada; Government of Canada; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Revenue; Investor relations; Intellectual property; Biotechnology; Cluster (spacecraft); Value (mathematics); Variety (cybernetics); Business; Bioethics; Economics; Marketing; Biology; Strategic management; Political science; Accounting; Law; Computer science","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":[0.0005723748,0.0001202097,0.0006295275,0.00113394,0.0001915144,0.000005363248,0.000615762,0.0006260509,0.0000638103],"category_scores_gemma":[0.0004355098,0.00009541852,0.0001961881,0.0007472088,0.0005686522,0.00007921371,0.00008890282,0.0005598596,0.00002285871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005156751,"about_ca_system_score_gemma":0.00004810635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003499084,"about_ca_topic_score_gemma":0.00007833732,"domain_scores_codex":[0.9983112,0.0000143082,0.00126299,0.0001273247,0.0000473312,0.0002368881],"domain_scores_gemma":[0.9976379,0.0001961368,0.001733028,0.000317208,0.00009031248,0.00002547367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003011102,0.0004486987,0.03328357,0.00003570865,0.0003393762,0.000002713963,0.0009566649,0.00008235563,0.0009926872,0.7779101,0.1651059,0.02054112],"study_design_scores_gemma":[0.001133311,0.0004182323,0.005254335,0.00001023981,0.00001716082,0.00005741957,0.0001310981,0.0001242112,0.01806598,0.01721695,0.9574265,0.0001444997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981044,0.00300785,0.1268874,0.0671172,0.002891627,0.0004317937,0.0001004392,0.00005112925,0.001408188],"genre_scores_gemma":[0.9954697,0.0004196633,0.002876742,0.0008933091,0.0001754255,0.000005950906,0.000001461631,0.00001460204,0.0001431741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7923207,"threshold_uncertainty_score":0.4828678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08105818552773462,"score_gpt":0.3141772405014212,"score_spread":0.2331190549736866,"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."}}