{"id":"W2953884405","doi":"10.71781/30434","title":"AXL receptor tyrosine kinase in breast cancer : defining novel substrates and pathways involved in cell motility and invasion","year":2018,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Phagocytosis and Immune Regulation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Université de Montréal; Canadian Institutes of Health Research; Fondation du cancer du sein du Québec","keywords":"Receptor tyrosine kinase; Motility; Cancer research; AXL receptor tyrosine kinase; Tyrosine kinase; ROR1; Breast cancer; Receptor; Biology; Cell biology; Cancer; Signal transduction; Chemistry; Medicine; Platelet-derived growth factor receptor; Internal medicine; JAK-STAT signaling pathway","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":[0.0002395073,0.0003698434,0.0002238547,0.0006534412,0.0001728912,0.000552137,0.000209308,0.0003758302,0.0009825254],"category_scores_gemma":[0.0001206294,0.0001461372,0.0002492107,0.0004478291,0.0001693465,0.0005063704,0.0002541692,0.0004244565,0.0003833701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779064,"about_ca_system_score_gemma":0.0004535838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009291822,"about_ca_topic_score_gemma":0.001784637,"domain_scores_codex":[0.9999192,0.00001811069,0.000005476207,0.00001308862,0.00002509344,0.00001893795],"domain_scores_gemma":[0.9999613,0.00000729626,0.00001043142,0.000002271504,0.000007625094,0.00001109804],"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":[0.001044988,0.0001594939,0.01024284,0.001558185,0.00007087886,0.00152692,0.0002172203,0.00135781,0.8202374,0.00350862,0.002242444,0.1578332],"study_design_scores_gemma":[0.0002670569,0.003074898,0.2626617,0.0004929589,0.0004493371,0.02605558,0.001008193,0.01125596,0.4545805,0.006299781,0.2337341,0.0001199102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7142392,0.2629312,0.007816316,0.002354698,0.0001299953,0.0001062881,0.001013622,0.0001532058,0.01125535],"genre_scores_gemma":[0.881851,0.09726901,0.009117405,0.000479169,0.0001738456,0.0001121538,0.001908513,0.00001727068,0.009071545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009825254,"threshold_uncertainty_score":0.004193068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008639215714198779,"score_gpt":0.1787160892027908,"score_spread":0.170076873488592,"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."}}