{"id":"W4242589976","doi":"10.3410/f.734244206.793554877","title":"Faculty Opinions recommendation of Enhanced dendritic compartmentalization in human cortical neurons.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Vallee Foundation; Natural Sciences and Engineering Research Council of Canada; Dana Foundation","keywords":"Compartmentalization (fire protection); Cortical neurons; Neuroscience; Computer science; Psychology; Biology","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":[0.000869628,0.001534737,0.0008142646,0.002081922,0.0004776269,0.001625958,0.001530234,0.001605248,0.03428729],"category_scores_gemma":[0.004602316,0.0003040029,0.001159443,0.002426039,0.000300682,0.0006741462,0.001224053,0.0009895836,0.03953315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009289047,"about_ca_system_score_gemma":0.001409891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154701,"about_ca_topic_score_gemma":0.04584359,"domain_scores_codex":[0.9992635,0.0001040636,0.00007094743,0.0002670296,0.0001843231,0.0001101244],"domain_scores_gemma":[0.998336,0.000483579,0.0002134443,0.0003169236,0.0004480602,0.0002020575],"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":[0.0001412656,0.00004010117,0.004999178,0.001181186,0.0001094004,0.00009308696,0.00003471539,0.0006714724,0.0008005149,0.0004565318,0.9818864,0.009586023],"study_design_scores_gemma":[0.0002903448,0.0000403841,0.02075848,0.0003893872,0.0001199235,0.0002822951,0.0001040953,0.002829305,0.001955085,0.001602001,0.9715881,0.00004059198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001260643,0.0002712454,0.0002344589,0.0002745904,0.00006103268,0.00001430663,0.9956404,0.000697439,0.001545924],"genre_scores_gemma":[0.003033938,0.0001225766,0.0006644979,0.00009042442,0.00001494285,0.00004638715,0.9948093,0.00008386612,0.00113419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03428729,"threshold_uncertainty_score":0.1147025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426137528264029,"score_gpt":0.3695431993249652,"score_spread":0.3452818240423249,"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."}}