{"id":"W2786541519","doi":"10.1523/jneurosci.3035-17.2018","title":"Combinatorial Effects of Alpha- and Gamma-Protocadherins on Neuronal Survival and Dendritic Self-Avoidance","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Wnt/β-catenin signaling in development and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Hospital for Sick Children; National Eye Institute; University of Toronto","keywords":"Biology; Protocadherin; Cerebellum; Mutant; Neuroscience; CRISPR; Allele; Genetics; Cell biology; Gene; Cell; Cadherin","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009337119,0.0003748137,0.0002685373,0.0002443879,0.0001226603,0.0003134577,0.0002836185,0.0001979695,0.0008580875],"category_scores_gemma":[0.0001117641,0.0001896042,0.0002158197,0.0001324452,0.0002790135,0.0001329033,0.0003262612,0.0005299589,0.0001621004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050498,"about_ca_system_score_gemma":0.0002516019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000734847,"about_ca_topic_score_gemma":0.002184139,"domain_scores_codex":[0.9997461,0.00002174775,0.0000292146,0.00005243299,0.00008349463,0.00006697379],"domain_scores_gemma":[0.9997883,0.00003462696,0.00004806464,0.00002398279,0.00001392156,0.00009108506],"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":[0.0001381655,0.0000301321,0.0002243512,0.00001769234,0.000007633772,0.00005918783,0.00000811166,0.00008041757,0.998346,0.00007759132,0.00001773169,0.0009930695],"study_design_scores_gemma":[0.00002379691,0.000289262,0.005651753,0.000003596266,0.0000297321,0.0001497859,0.0000240282,0.0009533924,0.9921456,0.000032094,0.0006906632,0.000006363598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981825,0.0003299515,0.0004825419,0.00002002119,0.00001270858,0.000009481416,0.0001507718,0.00004398237,0.0007680763],"genre_scores_gemma":[0.9980201,0.000165081,0.000524053,0.0000195263,0.000003261573,0.00001505172,0.0001439649,0.00001674479,0.001092274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008580875,"threshold_uncertainty_score":0.002870619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009208373642005238,"score_gpt":0.2522960278164711,"score_spread":0.2430876541744659,"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."}}