{"id":"W1997784714","doi":"10.3791/1286","title":"Batch Immunostaining for Large-Scale Protein Detection in the Whole Monkey Brain","year":2009,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Immunostaining; Immunohistochemistry; Staining; Population; Set (abstract data type); Neuroscience; Computer science; Biology; Pathology; Medicine; Immunology","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":[0.0009639857,0.001042117,0.0005858864,0.001008442,0.0007850134,0.000680926,0.001091374,0.0008197645,0.004934891],"category_scores_gemma":[0.0004898221,0.0007790442,0.0007347174,0.0005535189,0.0004346402,0.0006945315,0.0007203217,0.001328063,0.003800641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003712948,"about_ca_system_score_gemma":0.0007637696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169729,"about_ca_topic_score_gemma":0.004617786,"domain_scores_codex":[0.9994676,0.00005916918,0.0000586282,0.0002222486,0.0001344202,0.00005799088],"domain_scores_gemma":[0.9994807,0.00008328662,0.00005871391,0.0002016526,0.0001222246,0.00005343561],"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":[0.00002309766,0.00001998516,0.000110435,0.00004479882,0.000008898776,0.0000566382,0.0000180718,0.00003729357,0.996776,0.000180019,0.0001456265,0.002579132],"study_design_scores_gemma":[0.00004691955,0.0005287584,0.008841475,0.00005388045,0.0001356556,0.001770193,0.00005736518,0.002988991,0.9630803,0.0008709064,0.02159833,0.00002706149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1314547,0.002857191,0.8510131,0.0002925501,0.000378357,0.001810715,0.001681345,0.002630845,0.007881246],"genre_scores_gemma":[0.09861615,0.003149143,0.8770455,0.0002904739,0.0001521446,0.003154469,0.003270312,0.0009513175,0.01337064],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004934891,"threshold_uncertainty_score":0.01650882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431003776355043,"score_gpt":0.3626145938468305,"score_spread":0.34830455608328,"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."}}