{"id":"W2066133018","doi":"10.1016/j.drudis.2011.06.006","title":"Biopharma business models in Canada","year":2011,"lang":"en","type":"article","venue":"Drug Discovery Today","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Timeline; Business model; Business; Drug development; Knowledge management; Computer science; Data science; Marketing; Drug; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"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":[0.00005606853,0.000103051,0.0001791527,0.00008572575,0.00002644994,0.000003512272,0.00009564553,0.0004286686,0.0001493869],"category_scores_gemma":[0.00001075503,0.00007922712,0.00002701383,0.0002948824,0.00005261004,0.0001726822,0.00004048891,0.0008401827,0.00001632038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129337,"about_ca_system_score_gemma":0.000641095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6917619,"about_ca_topic_score_gemma":0.4734564,"domain_scores_codex":[0.9993382,0.00001313186,0.0001609977,0.0001765727,0.00009757943,0.0002135803],"domain_scores_gemma":[0.9996659,0.00001180385,0.00003070691,0.0002179252,0.00002413744,0.00004956517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005784366,0.004801723,0.5185881,0.001459595,0.001608316,0.01897935,0.01352241,0.003197998,0.02535869,0.1807745,0.1790571,0.04686786],"study_design_scores_gemma":[0.01215976,0.0001608572,0.7469223,0.001330265,0.000420608,0.0006392673,0.004920123,0.007987447,0.1845456,0.01159029,0.02743733,0.001886195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689921,0.0006190881,0.0001758211,0.007133837,0.000475454,0.0001456875,0.000009555139,0.00003893655,0.02240951],"genre_scores_gemma":[0.9959574,0.0003853357,0.00007692778,0.001357925,0.00002445795,0.000007109832,0.00001053532,0.0000113097,0.002168949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2283341,"threshold_uncertainty_score":0.5361516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664959635309743,"score_gpt":0.2031629336648992,"score_spread":0.1865133373118018,"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."}}