{"id":"W1548286314","doi":"10.1038/bioent810","title":"Canada's bumper biotech budget","year":2004,"lang":"en","type":"article","venue":"Bioentrepreneur","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Business; Biotechnology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003291482,0.0001161592,0.000156214,0.00006384213,0.00006177133,0.000004872866,0.00009005517,0.001228034,0.0001966754],"category_scores_gemma":[0.00004120826,0.0000913848,0.00005357791,0.0001799616,0.00007927534,0.00001646709,0.00004077275,0.0009433872,0.00009602597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009088869,"about_ca_system_score_gemma":0.0005122144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1521928,"about_ca_topic_score_gemma":0.05208613,"domain_scores_codex":[0.9992169,0.000007176402,0.0001421649,0.000253523,0.0001383091,0.0002419883],"domain_scores_gemma":[0.9994562,0.000008482912,0.00003096465,0.0003642188,0.00003078139,0.0001093498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009884917,0.001930584,0.09823041,0.0003510532,0.001407378,0.008714357,0.0004432407,0.0002746604,0.4886316,0.05911256,0.2921571,0.04775855],"study_design_scores_gemma":[0.002894513,0.0002393589,0.0362651,0.0001108132,0.0001281541,0.0008527421,0.00006377048,0.00001298411,0.5139789,0.0004514032,0.444705,0.000297278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7625306,0.0008609596,0.0001440282,0.230249,0.000622098,0.0002443118,0.0000144766,0.0002819289,0.005052655],"genre_scores_gemma":[0.9914865,0.0002852007,0.0003267089,0.005715932,0.00007903261,0.000003882356,0.00001415332,0.00001306368,0.002075494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.228956,"threshold_uncertainty_score":0.9652109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005033945940312927,"score_gpt":0.2062620392447491,"score_spread":0.2012280933044362,"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."}}