{"id":"W2015792313","doi":"10.4161/23723548.2014.961827","title":"Sonic Hedgehog factor Gli1: As good as resistant","year":2015,"lang":"en","type":"article","venue":"Molecular & Cellular Oncology","topic":"Hedgehog Signaling Pathway Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Cancer Institute","keywords":"GLI1; Biology; Drug resistance; Hedgehog; Cancer; Sonic hedgehog; Computational biology; Bioinformatics; Genetics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005359467,0.0004923291,0.000592387,0.0001244439,0.0001631258,0.00004746248,0.0006009453,0.0006320521,0.00009558029],"category_scores_gemma":[0.0006903685,0.0004986708,0.0003038015,0.0002345492,0.0002948467,0.000006444035,0.0005135079,0.0003312047,0.0008497169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181771,"about_ca_system_score_gemma":0.001149109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174644,"about_ca_topic_score_gemma":0.00008007351,"domain_scores_codex":[0.9967044,0.0004752444,0.0005288832,0.000980246,0.0004566097,0.0008545952],"domain_scores_gemma":[0.9979273,0.00003599952,0.0002167929,0.0009661456,0.0003469229,0.0005068503],"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":[0.0003122756,0.0002166956,0.0001629491,0.00002245809,0.0002564597,0.0009614968,0.000334469,0.00007907097,0.9933825,0.0009755684,0.002010978,0.001285042],"study_design_scores_gemma":[0.001201223,0.002225545,0.00004535393,0.00001177043,0.0000596676,0.00007930503,0.0003227832,0.00001428019,0.628653,0.000540807,0.3664402,0.000406089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500316,0.008979452,0.003357336,0.0008205888,0.0007126986,0.0004748699,0.00002756168,0.00008932564,0.03550659],"genre_scores_gemma":[0.9921169,0.0001087687,0.001259525,0.001579482,0.000377192,0.00008252718,0.0001772939,0.00011481,0.004183459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3647296,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716795505561828,"score_gpt":0.2963258653321477,"score_spread":0.2691579102765294,"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."}}