{"id":"W2043764521","doi":"10.1093/nar/gkt1115","title":"The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases","year":2013,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1957,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; Ontario Institute for Cancer Research","funders":"National Heart, Lung, and Blood Institute; British Heart Foundation","keywords":"Data curation; Database; Merge (version control); Digital curation; Biology; Computer science; World Wide Web; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.02352255,0.003638413,0.004179385,0.01496243,0.004001572,0.01141601,0.009790448,0.002679924,0.03235493],"category_scores_gemma":[0.03490505,0.00276571,0.003381985,0.01617318,0.001599441,0.007982835,0.01543159,0.004627067,0.03169221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002374479,"about_ca_system_score_gemma":0.01398372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004485135,"about_ca_topic_score_gemma":0.004492661,"domain_scores_codex":[0.985612,0.003829142,0.003217353,0.002580084,0.003694565,0.001066802],"domain_scores_gemma":[0.9775544,0.004244001,0.002875888,0.008081023,0.004403574,0.002841052],"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":[0.001590505,0.0002182221,0.002490242,0.005621791,0.0008611873,0.001129764,0.00166943,0.001694391,0.02399979,0.02577114,0.7927033,0.1422503],"study_design_scores_gemma":[0.0002556596,0.0001284306,0.002370769,0.001172381,0.0002978012,0.0009517224,0.0002896597,0.003968104,0.0113897,0.01293612,0.9660617,0.0001780316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008445716,0.006872025,0.4632062,0.003189261,0.001862463,0.002857327,0.290525,0.1963325,0.02670969],"genre_scores_gemma":[0.01326682,0.002362713,0.40792,0.001072376,0.0002982264,0.003118999,0.544854,0.02090572,0.006201098],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03235493,"threshold_uncertainty_score":0.1244006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508653696391626,"score_gpt":0.3751211313076371,"score_spread":0.3200345943437209,"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."}}