{"id":"W2122984705","doi":"10.1517/17460441.2010.498815","title":"Developing a framework for understanding and enabling open source drug discovery","year":2010,"lang":"en","type":"article","venue":"Expert Opinion on Drug Discovery","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Commercialization; Knowledge management; Interdependence; Open source; Upstream (networking); New product development; Open innovation; Downstream (manufacturing); Corporate governance; Business; Data science; Process management; Computer science; Marketing; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003427399,0.0002634482,0.0003882712,0.0001839346,0.0004543013,0.0003027731,0.0002832399,0.001276731,0.00002456433],"category_scores_gemma":[0.0003189854,0.0002081546,0.0001089829,0.000201977,0.0002151212,0.0006699725,0.0002967244,0.00214678,0.000007674204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055829,"about_ca_system_score_gemma":0.0001788643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005209074,"about_ca_topic_score_gemma":0.00001704831,"domain_scores_codex":[0.9985375,0.00002971979,0.0003030339,0.0005584075,0.0001797242,0.0003916466],"domain_scores_gemma":[0.9988354,0.0004778935,0.0001205681,0.0004339251,0.00002622647,0.0001059298],"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":[0.0007087293,0.0001478583,0.0006552309,0.00008761126,0.0001572864,0.000008721863,0.001834706,0.000007065127,0.002884325,0.9836941,0.005978689,0.003835704],"study_design_scores_gemma":[0.009401432,0.0006125071,0.001163251,0.006752353,0.00007192927,0.0002850552,0.0308652,0.001001719,0.08426414,0.2231953,0.6402259,0.002161188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1809545,0.004364592,0.6248779,0.1789953,0.00624303,0.002238967,0.00002492579,0.0003699241,0.001930832],"genre_scores_gemma":[0.968882,0.004455286,0.01583851,0.006883476,0.0008033003,0.000121933,0.000063133,0.00008240789,0.00286992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7879275,"threshold_uncertainty_score":0.9847323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512613885445983,"score_gpt":0.3418841158368607,"score_spread":0.2906227272922625,"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."}}