{"id":"W2606068243","doi":"10.1371/journal.pmed.1002276","title":"An open source pharma roadmap","year":2017,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Open Source Drug Discovery; Tata Trusts; World Health Organization; Rockefeller Foundation","keywords":"Open source; Drug development; Drug approval; Medicine; MEDLINE; Data science; Computer science; Political science; Drug; Pharmacology; Law","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02260474,0.001240257,0.0005838038,0.002257137,0.005342889,0.01259482,0.002296514,0.02050136,0.01938937],"category_scores_gemma":[0.056897,0.0006780425,0.001455123,0.001328921,0.008425449,0.02542713,0.01259251,0.02809269,0.008925659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002904207,"about_ca_system_score_gemma":0.01403178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930711,"about_ca_topic_score_gemma":0.00221176,"domain_scores_codex":[0.9861389,0.004336371,0.0005883373,0.0009133919,0.006572572,0.001450362],"domain_scores_gemma":[0.9468538,0.03046962,0.001612548,0.002949997,0.009706707,0.00840748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006929185,0.0001137052,0.0001839579,0.0002352891,0.00001697144,0.0003316186,0.0003619705,0.0004409845,0.0004478277,0.2306486,0.7121705,0.05497914],"study_design_scores_gemma":[0.00003410557,0.00007845826,0.0001548123,0.0002411431,0.000009106112,0.0001842172,0.0002291241,0.0004031491,0.0003055275,0.1121477,0.8861774,0.00003540035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0008602454,0.01281847,0.01365162,0.9057924,0.03567711,0.0000786713,0.0001885638,0.0007222373,0.03021062],"genre_scores_gemma":[0.05193191,0.04642995,0.04044162,0.6708191,0.06682361,0.000732354,0.0009246074,0.001705035,0.1201918],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9977035,"threshold_uncertainty_score":0.1195467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07843401445139025,"score_gpt":0.3669079596069643,"score_spread":0.288473945155574,"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."}}