{"id":"W1974666757","doi":"10.1155/2012/610856","title":"Efficiency of Manual Scanning in Recovering Rare Cellular Events Identified by Fluorescence<i>In Situ</i>Hybridization: Simulation of the Detection of Fetal Cells in Maternal Blood","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedicine and Biotechnology","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"In situ hybridization; Fluorescence in situ hybridization; In situ; Fetus; Fluorescence; Fish <Actinopterygii>; Biology; Pathology; Biomedical engineering; Medicine; Chemistry; Pregnancy; Genetics; Gene; Physics; Gene expression; Optics; Chromosome","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":[0.00161635,0.0004106761,0.0005617687,0.0006330509,0.0002641787,0.00049259,0.0007463703,0.0007192224,0.001242929],"category_scores_gemma":[0.005942607,0.0002835363,0.0004255615,0.0004208517,0.0004641312,0.0003887693,0.0004014225,0.000302153,0.0003470922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006058562,"about_ca_system_score_gemma":0.0004321834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003538177,"about_ca_topic_score_gemma":0.001861038,"domain_scores_codex":[0.9991409,0.0003040222,0.00003981446,0.0001317576,0.0002763545,0.0001071778],"domain_scores_gemma":[0.9953209,0.003793979,0.0002437196,0.0002753704,0.000300158,0.00006593038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001531522,0.0003217063,0.02446211,0.0005121597,0.00008332972,0.0006269907,0.0005583926,0.4169229,0.498304,0.002035993,0.0007103804,0.05393052],"study_design_scores_gemma":[0.00003375566,0.0007274474,0.01217,0.00002327971,0.00004861983,0.0004149219,0.000127836,0.7907661,0.1937702,0.0007962792,0.001069418,0.00005214744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872617,0.0003967786,0.1100792,0.00009916485,0.0000222781,0.00008670604,0.0001267726,0.0003403082,0.001587109],"genre_scores_gemma":[0.9622669,0.0002148384,0.03639794,0.00003995849,0.000004787245,0.00008387918,0.0001384584,0.00006421631,0.0007890244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003538177,"threshold_uncertainty_score":0.008548141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007286663731719684,"score_gpt":0.2404230873562055,"score_spread":0.2331364236244858,"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."}}