{"id":"W3200934236","doi":"10.1016/j.bulcan.2021.05.008","title":"Intérêt de l’outil web bc-GenExMiner en oncologie","year":2021,"lang":"fr","type":"review","venue":"Bulletin du Cancer","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Cancer Research","keywords":"Breast cancer; Transcriptome; Prioritization; World Wide Web; Computer science; Computational biology; Medicine; Oncology; Bioinformatics; Gene; Cancer; Biology; Gene expression; Internal medicine; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005844763,0.000710313,0.00109817,0.00009098289,0.0001698538,0.00009867643,0.0007597373,0.001452184,0.01382948],"category_scores_gemma":[0.0004245691,0.0006664981,0.0007251606,0.0002763958,0.000203887,0.000002414758,0.0007256555,0.0005750295,0.0005997773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751296,"about_ca_system_score_gemma":0.003897347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001343597,"about_ca_topic_score_gemma":0.0000632894,"domain_scores_codex":[0.9960242,0.0008858155,0.0007686663,0.001251669,0.0003041833,0.0007654688],"domain_scores_gemma":[0.9977453,0.00009241832,0.0005073713,0.0009941419,0.0003342906,0.0003264945],"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":[0.00002677399,0.0001374042,0.0001334702,0.001466166,0.0002364034,0.00002748083,0.00003212408,0.00004316615,0.01034804,0.0001221886,0.4602723,0.5271544],"study_design_scores_gemma":[0.0005733683,0.0001181452,0.00006875762,0.002967427,0.0004702769,0.0000648306,0.00009216281,0.00002044304,0.004143048,0.00000664204,0.9907253,0.0007495426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008607986,0.979584,0.0003970616,0.006119182,0.002676833,0.0005556686,0.0001872148,0.00003072175,0.009588509],"genre_scores_gemma":[0.00141025,0.9319332,0.0009672022,0.001949827,0.004287735,0.001145922,0.0006099112,0.000120425,0.05757556],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.530453,"threshold_uncertainty_score":0.9998441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115193536907757,"score_gpt":0.3260062575452144,"score_spread":0.2948543221761368,"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."}}