{"id":"W2762499814","doi":"10.1615/critrevbiomedeng.2017021231","title":"Preface: McMaster Research Highlights","year":2016,"lang":"en","type":"article","venue":"Critical Reviews in Biomedical Engineering","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Medical physics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002571312,0.001217866,0.000643627,0.002631638,0.002724274,0.004730782,0.002380999,0.004971806,0.09829257],"category_scores_gemma":[0.009176956,0.0004017607,0.000754328,0.001690118,0.00104627,0.002860598,0.003037766,0.005245627,0.05756608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009596047,"about_ca_system_score_gemma":0.00881933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03139573,"about_ca_topic_score_gemma":0.06227996,"domain_scores_codex":[0.9980003,0.0002394774,0.0001002981,0.0003023389,0.001054633,0.0003028924],"domain_scores_gemma":[0.9932799,0.0005389293,0.0003118427,0.0003789713,0.003455753,0.002034659],"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":[0.00001074414,0.000002435829,0.000009795641,0.0000501827,0.000001302188,0.00001184388,0.00001006154,0.000007089232,0.00005832408,0.0004835559,0.9944035,0.004951013],"study_design_scores_gemma":[0.000004438469,0.000006584502,0.0001701161,0.00009749513,0.000004385246,0.0000257448,0.00002910401,0.00001035432,0.0001288137,0.0005249631,0.9989917,0.0000063503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003792142,0.07132335,0.0007093302,0.2984697,0.5635067,0.0002116103,0.001357141,0.0003116825,0.06373135],"genre_scores_gemma":[0.00619266,0.0388073,0.0006252215,0.09919897,0.2745767,0.0001682002,0.0008112729,0.0003231311,0.5792966],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09829257,"threshold_uncertainty_score":0.3288214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273355791151501,"score_gpt":0.3704133434426017,"score_spread":0.3376797855310867,"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."}}