{"id":"W2072502354","doi":"10.1016/j.cell.2006.08.025","title":"Mind the GAP: Wnt Steps onto the mTORC1 Train","year":2006,"lang":"en","type":"letter","venue":"Cell","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Wnt signaling pathway; TSC1; mTORC1; PI3K/AKT/mTOR pathway; AMPK; TSC2; Biology; RPTOR; Carcinogenesis; Phosphorylation; Cell growth; Cell biology; Cancer research; Kinase; Signal transduction; mTORC2; Beta-catenin; Protein kinase A; Biochemistry; Genetics; Cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001833713,0.0009087138,0.001779375,0.000601891,0.002278216,0.003478504,0.001387766,0.02557689,0.006597837],"category_scores_gemma":[0.00816416,0.0004548136,0.0009396224,0.0003999145,0.003862633,0.006086844,0.001731648,0.03573356,0.004270316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039255,"about_ca_system_score_gemma":0.001381038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108644,"about_ca_topic_score_gemma":0.002500482,"domain_scores_codex":[0.9988306,0.0003882097,0.0001243931,0.0001485328,0.0003549499,0.000153313],"domain_scores_gemma":[0.9975079,0.001633222,0.0001236915,0.00009990376,0.0002651738,0.0003701203],"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":[0.0003964625,0.00007402141,0.0005020028,0.0002323482,0.00005254729,0.003775225,0.0001805815,0.0001696543,0.0009768209,0.01307995,0.9461023,0.03445815],"study_design_scores_gemma":[0.0004140767,0.000141199,0.0006300599,0.0003209146,0.00005749678,0.004692791,0.0006225718,0.0006789967,0.001001776,0.05911721,0.9322438,0.00007911593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005881344,0.01586104,0.0002249655,0.9618761,0.01872332,0.000007253322,0.00002782185,0.00003430518,0.002657032],"genre_scores_gemma":[0.01698706,0.02320414,0.0009850796,0.8407861,0.1061144,0.00005367806,0.00003946822,0.00004615592,0.01178374],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02557689,"threshold_uncertainty_score":0.02207202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07849438419167391,"score_gpt":0.29042215285185,"score_spread":0.211927768660176,"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."}}