{"id":"W2013387085","doi":"10.1016/j.neuron.2010.08.016","title":"Neurexin-Neuroligin Cell Adhesion Complexes Contribute to Synaptotropic Dendritogenesis via Growth Stabilization Mechanisms In Vivo","year":2010,"lang":"en","type":"article","venue":"Neuron","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Michael Smith Health Research BC; Canadian Institutes of Health Research; Tula Foundation; EJLB Foundation","keywords":"Synaptogenesis; Neuroligin; Neurexin; Polysialic acid; AMPA receptor; Cell biology; NMDA receptor; Synapse; Neuroscience; Cell adhesion molecule; Biology; Growth cone; Neural cell adhesion molecule; Cell adhesion; Receptor; Cell; Postsynaptic potential; Excitatory postsynaptic potential; Biochemistry; Axon","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002704733,0.0003671096,0.0003604442,0.0006170417,0.000362101,0.000133424,0.001040162,0.000140041,0.0002445677],"category_scores_gemma":[0.001001942,0.0003651464,0.00009453842,0.001514842,0.0002007216,0.0003856652,0.0004019413,0.0008545178,0.0002657531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003702069,"about_ca_system_score_gemma":0.0000756835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004279074,"about_ca_topic_score_gemma":0.00008379802,"domain_scores_codex":[0.9955982,0.0007082446,0.0004724683,0.001386451,0.0008090781,0.001025559],"domain_scores_gemma":[0.9981255,0.0006778007,0.0001253354,0.0005528625,0.0001004022,0.0004180835],"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":[0.0001583192,0.0002786884,0.002047381,0.00002547455,4.263167e-7,0.0003959183,0.00004510593,0.00007827589,0.9957992,0.0006359849,0.0003964744,0.0001386921],"study_design_scores_gemma":[0.0008439774,0.0007351998,0.004861585,0.000005287262,0.0000083327,0.00008640633,0.000003951155,0.001666324,0.9894329,0.0004998431,0.001568996,0.0002871679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942741,0.000004896672,0.0005587878,0.001637401,0.001977623,0.001062703,0.00004316616,0.0001979243,0.0002433438],"genre_scores_gemma":[0.9927537,0.0000766542,0.00006928328,0.006542979,0.0001006606,0.0001017064,0.000001001837,0.00007084626,0.000283199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00636633,"threshold_uncertainty_score":0.9998801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249814269746554,"score_gpt":0.2956024654245589,"score_spread":0.2706210384499035,"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."}}