{"id":"W4247714079","doi":"10.1177/117693510700300027","title":"Public Databases and Software for the Pathway Analysis of Cancer Genomes","year":2007,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Data science; Informatics; Genomics; Computer science; Computational biology; Biological database; Key (lock); Pathway analysis; Genome; Bioinformatics; Biology; Genetics; Political science; Gene","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":[0.0003628525,0.0001085487,0.0001716599,0.00007582024,0.0001062067,0.00002773498,0.000177008,0.00006599171,0.00002091726],"category_scores_gemma":[0.00004504081,0.00007539539,0.00008602296,0.0002645883,0.000108361,0.00001198069,0.0001089325,0.00005188552,2.882817e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523451,"about_ca_system_score_gemma":0.000120005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004862023,"about_ca_topic_score_gemma":0.001043843,"domain_scores_codex":[0.9992065,0.000003829337,0.0004024807,0.00006931483,0.00009173238,0.0002261714],"domain_scores_gemma":[0.9991497,0.00006933875,0.0002416883,0.0002929759,0.0001828764,0.00006339976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001458365,0.00003891942,0.07648712,0.0005064883,0.003865,2.1999e-7,0.002118767,0.006313752,0.001902144,0.002843136,0.007343382,0.8984352],"study_design_scores_gemma":[0.0009468078,0.000121607,0.01750977,0.00003469658,0.001244762,0.000002325946,0.001975514,0.02911617,0.01167458,0.00008729946,0.9368308,0.0004556749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.241557,0.04311664,0.7108402,0.0002753461,0.0004677637,0.0007529765,0.002238345,0.00001873773,0.0007330631],"genre_scores_gemma":[0.9698824,0.01119897,0.01476184,0.002206163,0.0003993426,0.0001494865,0.0008854851,0.00002716661,0.0004891617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9294874,"threshold_uncertainty_score":0.3074535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604395602923537,"score_gpt":0.2917303726265303,"score_spread":0.255686416597295,"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."}}