{"id":"W2068951398","doi":"10.1158/1538-7445.am2011-2885","title":"Abstract 2885: The NCI-Nature Pathway Interaction Database: A comprehensive resource for cell signaling information","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; World Wide Web; Database; XML; SQL; Metadata; Resource (disambiguation); 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":[0.002468243,0.002334581,0.003266912,0.01164263,0.001048109,0.004868401,0.004503046,0.001815552,0.1383612],"category_scores_gemma":[0.008499859,0.001409276,0.001048421,0.01704203,0.0003568779,0.002984581,0.003222077,0.002060918,0.103936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476805,"about_ca_system_score_gemma":0.005923211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007550213,"about_ca_topic_score_gemma":0.009087063,"domain_scores_codex":[0.9983689,0.0002490706,0.0004206642,0.0002359507,0.0005801369,0.0001452507],"domain_scores_gemma":[0.9955237,0.001077595,0.0004766201,0.000648306,0.001383791,0.0008900829],"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":[0.0003075508,0.0000632391,0.001040958,0.003279389,0.00008250136,0.0001954787,0.00007884071,0.0007055171,0.003118318,0.002996857,0.9443309,0.04380059],"study_design_scores_gemma":[0.0003404954,0.00005848233,0.004364933,0.0008502592,0.0001333905,0.0004190202,0.00008900617,0.001613552,0.002724489,0.005924556,0.9833914,0.00009043558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0008084843,0.003498958,0.005768124,0.0006965723,0.0001604918,0.0002681735,0.9646655,0.01019063,0.01394302],"genre_scores_gemma":[0.002141171,0.002450258,0.008381533,0.0002752652,0.00007229177,0.0003572043,0.9819228,0.001132223,0.003267272],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1383612,"threshold_uncertainty_score":0.4628642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1190194912533565,"score_gpt":0.3929094589435319,"score_spread":0.2738899676901754,"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."}}