{"id":"W2080013376","doi":"10.1158/2159-8290.cd-13-1049","title":"MYCxing It Up with FGFR1 in Squamous Cell Lung Cancer","year":2014,"lang":"en","type":"letter","venue":"Cancer Discovery","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Fibroblast growth factor receptor 1; Lung cancer; Cancer research; Biology; Cell; Cancer; Fibroblast growth factor; Basal cell; Cell growth; Receptor; Oncology; Medicine; Pathology; 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"],"consensus_categories":[],"category_scores_codex":[0.0001222664,0.0005131271,0.000453408,0.0001564569,0.00006541823,0.0001446214,0.0005911504,0.0008215818,0.000173277],"category_scores_gemma":[0.00002355533,0.0004461312,0.0001508677,0.0001867839,0.0001609098,0.00001864141,0.0002428529,0.001330899,0.00001302755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095762,"about_ca_system_score_gemma":0.0009322418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750067,"about_ca_topic_score_gemma":0.001519129,"domain_scores_codex":[0.9971666,0.0001325317,0.0003136016,0.001011392,0.0004787143,0.0008972102],"domain_scores_gemma":[0.9988353,0.00004593208,0.0001856935,0.0007530652,0.00009373279,0.0000863012],"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":[0.000177981,0.00001791152,0.0164537,0.001126562,0.00007423441,0.0000924944,0.00006199977,0.0005462545,0.03372816,0.000001047715,0.9476209,0.00009880633],"study_design_scores_gemma":[0.001594776,0.000245547,0.001087253,0.0007155263,0.00008280873,0.00001151127,0.00003324671,0.00008915278,0.06217917,0.000005796724,0.9328585,0.001096776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7240853,0.02838799,0.001439291,0.2283045,0.003167183,0.002668764,0.001402562,0.00007725546,0.01046713],"genre_scores_gemma":[0.68898,0.001438221,0.00004298374,0.2534806,0.008285737,0.00104668,0.001251413,0.0003742061,0.04510014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03510531,"threshold_uncertainty_score":0.9997991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283335706790922,"score_gpt":0.2831342635802202,"score_spread":0.270300906512311,"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."}}