{"id":"W2954630785","doi":"10.82308/21782","title":"Transcriptome, genomic and gentle analyses of chromosome 3p genes implicated as tumour suppressors in ovarian cancer","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; McGill University Health Centre; Genome Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Biology; Genetics; Loss of heterozygosity; Gene; Candidate gene; Transcriptome; Comparative genomic hybridization; Microarray; Microarray analysis techniques; Chromosome; Allele; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009681434,0.0001165591,0.0001712982,0.0003458806,0.0002738073,0.0002887196,0.00008212754,0.000219527,0.001283761],"category_scores_gemma":[0.0002214804,0.00008035575,0.0003202308,0.0005528629,0.0001595605,0.0001555285,0.0001837981,0.0003480348,0.0003245079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450754,"about_ca_system_score_gemma":0.0002387913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642812,"about_ca_topic_score_gemma":0.002349504,"domain_scores_codex":[0.9999017,0.000007273054,0.000004568181,0.00003470773,0.00003151363,0.00002041674],"domain_scores_gemma":[0.9998436,0.00004514683,0.00003891224,0.00001824149,0.00003237166,0.00002166131],"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":[0.0001309787,0.000008316536,0.006608276,0.00006757394,0.00001422757,0.00009863994,0.0000781003,0.0001323049,0.9876195,0.0001022738,0.00008817598,0.005051554],"study_design_scores_gemma":[0.00001990875,0.0002795124,0.767778,0.00002672517,0.0001294643,0.001117862,0.0005733503,0.001714906,0.2176963,0.0004778218,0.01016853,0.00001753125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852609,0.001918899,0.005940684,0.0001328177,0.00002717619,0.00001996668,0.004705844,0.00007311732,0.001920545],"genre_scores_gemma":[0.9823666,0.001537946,0.005081155,0.0001532134,0.00001768869,0.00007040126,0.006357495,0.00004659154,0.004368934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001642812,"threshold_uncertainty_score":0.004294634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000885248014802,"score_gpt":0.2943198806893278,"score_spread":0.2643110282091798,"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."}}