{"id":"W2127358324","doi":"10.1093/nar/gkr919","title":"SCRIPDB: a portal for easy access to syntheses, chemicals and reactions in patents","year":2011,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Metadata; Chemical database; In silico; Computational biology; Information retrieval; Biology; Computer science; Database; Data science; Bioinformatics; World Wide Web; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002026378,0.002609198,0.002082675,0.00950454,0.0009869378,0.005295722,0.003035779,0.002692805,0.2875062],"category_scores_gemma":[0.008752311,0.001444816,0.001252062,0.01196217,0.0004918224,0.006298805,0.004429509,0.002399676,0.2204065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510493,"about_ca_system_score_gemma":0.003023562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002904139,"about_ca_topic_score_gemma":0.003125639,"domain_scores_codex":[0.9989146,0.0001523067,0.0001596402,0.000135938,0.0005022283,0.0001352421],"domain_scores_gemma":[0.996763,0.001209283,0.0003938412,0.0006464809,0.0005460583,0.0004411807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004093616,0.0001337576,0.0007669359,0.001862991,0.0000593097,0.0005761085,0.0001342269,0.001028579,0.003325076,0.009326384,0.8992265,0.08315065],"study_design_scores_gemma":[0.0002728922,0.00003799264,0.0008180566,0.0002242749,0.00002899435,0.0004630319,0.00006619345,0.002005749,0.003046268,0.01333533,0.9796298,0.00007148106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002334096,0.002876018,0.05829839,0.001383194,0.000327616,0.0003983316,0.6740412,0.1899409,0.07040032],"genre_scores_gemma":[0.0127977,0.004648656,0.05795335,0.000705568,0.0001995886,0.0006121791,0.8771225,0.02161593,0.02434462],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2875062,"threshold_uncertainty_score":0.961804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2708685964831952,"score_gpt":0.4381148793308425,"score_spread":0.1672462828476473,"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."}}