{"id":"W2124146356","doi":"10.1158/0008-5472.can-07-2580","title":"Multiple Alternative Splicing Markers for Ovarian Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ovarian cancer; RNA splicing; Alternative splicing; Biology; Gene expression profiling; Cancer; Computational biology; Gene; Microarray; Serous ovarian cancer; Cancer research; Splicing factor; Bioinformatics; Gene expression; Genetics; Exon; RNA","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":[0.0006183928,0.0001212214,0.0001370185,0.000112338,0.0004500871,0.00002921893,0.00035748,0.00009766592,0.0001166028],"category_scores_gemma":[0.0003588743,0.0001117212,0.00008705049,0.0002047853,0.0002272191,0.000006913366,0.000172407,0.0002439238,0.00001034299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293569,"about_ca_system_score_gemma":0.0004973439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004404183,"about_ca_topic_score_gemma":0.001301631,"domain_scores_codex":[0.9981362,0.0001129067,0.0001461607,0.0004608745,0.0004000422,0.0007438338],"domain_scores_gemma":[0.9988915,0.00009383052,0.00003232205,0.000319912,0.0004528217,0.0002095776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007427407,0.00002806825,0.01129443,0.00004112732,0.00009390042,0.00001166854,0.00009807695,0.000242171,0.9550586,0.00005029431,0.02572105,0.00661792],"study_design_scores_gemma":[0.002331758,0.0004461064,0.006899647,0.00007822504,0.000005858898,0.00001125388,0.0002075167,0.002399981,0.8902187,0.00008578025,0.09702678,0.0002884381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948126,0.001482763,0.001441108,0.0005934159,0.0001431578,0.0006694917,0.00008937228,0.00001026248,0.0007578452],"genre_scores_gemma":[0.9806685,0.002426221,0.0004092209,0.0001493986,0.0008826724,0.00102333,0.00003886061,0.0000412527,0.0143605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07130574,"threshold_uncertainty_score":0.6657836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08250446163454854,"score_gpt":0.4108390209229895,"score_spread":0.3283345592884409,"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."}}