{"id":"W2062109930","doi":"10.1016/j.jneumeth.2014.01.011","title":"Isolating specific cell and tissue compartments from 3D images for quantitative regional distribution analysis using novel computer algorithms","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Queen's University","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Immunolabeling; Biology; Compartment (ship); Neuropil; Computer science; Neuroscience; Pathology; Central nervous system","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":[0.001038708,0.001258216,0.0009421226,0.00153164,0.0005950099,0.001969275,0.00143541,0.001243322,0.003360968],"category_scores_gemma":[0.00219259,0.00100543,0.001143811,0.001254945,0.0005903921,0.001132873,0.00121018,0.001516493,0.001638023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007625486,"about_ca_system_score_gemma":0.001740038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003935006,"about_ca_topic_score_gemma":0.007839424,"domain_scores_codex":[0.9997016,0.00003539666,0.00002729543,0.00009141872,0.000110706,0.00003364932],"domain_scores_gemma":[0.9991835,0.0003636428,0.00008639512,0.0001162992,0.0002179359,0.00003228534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001948751,0.0001298335,0.001254844,0.0004042868,0.000133555,0.0001346215,0.0002688569,0.1042271,0.3180598,0.01410012,0.003953673,0.5571385],"study_design_scores_gemma":[0.00001621673,0.00003043173,0.0009406808,0.0000173284,0.00003459448,0.0002412925,0.00004469051,0.9358165,0.05090705,0.007400729,0.004523889,0.00002661806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002537888,0.00003141944,0.996381,0.00003245073,0.00000697995,0.00003120051,0.00003853572,0.0007972951,0.0001433429],"genre_scores_gemma":[0.016615,0.0001127487,0.9821097,0.00003076944,0.00001075624,0.0001382795,0.0001546027,0.0003751965,0.0004528563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003935006,"threshold_uncertainty_score":0.01124352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2546513048963229,"score_gpt":0.4924886718702534,"score_spread":0.2378373669739305,"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."}}