{"id":"W4396926420","doi":"10.1111/jmi.13318","title":"Building momentum through networks: Bioimaging across the Americas","year":2024,"lang":"en","type":"article","venue":"Journal of Microscopy","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"CelluForce (Canada); McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Institute for Collaborative Biotechnologies; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Army Research Office; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Cancer Institute; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ministério da Ciência, Tecnologia e Inovação; Laboratório Nacional de Nanotecnologia; Deutsche Forschungsgemeinschaft; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Intellectual and Developmental Disabilities Research Center; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación; Chan Zuckerberg Initiative; Universidad Nacional Autónoma de México; Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California; Universidad de Buenos Aires; Northwestern University; Consejo Nacional de Investigaciones Científicas y Técnicas; Vanderbilt University; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Centro Nacional de Pesquisa em Energia e Materiais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Silicon Valley Community Foundation","keywords":"Latin Americans; Library science; Political science; Geography; Regional science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02372512,0.0007191275,0.0003880335,0.001771066,0.01157495,0.01800279,0.001846253,0.004199563,0.01482429],"category_scores_gemma":[0.01765399,0.0004919895,0.000385768,0.00229462,0.005055094,0.01641742,0.01811165,0.007099759,0.002193316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009134261,"about_ca_system_score_gemma":0.02421048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009591888,"about_ca_topic_score_gemma":0.01847437,"domain_scores_codex":[0.9908799,0.00501634,0.0001878852,0.000719116,0.001567297,0.00162951],"domain_scores_gemma":[0.9807743,0.005834995,0.001213755,0.0007462657,0.002941352,0.008489269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001376266,0.0001763966,0.006014938,0.0006954866,0.00004473159,0.0008095199,0.03689337,0.0007640837,0.001941327,0.2464515,0.3210534,0.3850178],"study_design_scores_gemma":[0.000009781497,0.00004029471,0.001582435,0.0004655603,0.000007482295,0.0001197977,0.01768862,0.0002130332,0.0002797762,0.02228904,0.9572856,0.00001850957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02823031,0.03544868,0.02258216,0.7019485,0.01064477,0.0003287418,0.0002701248,0.0006087485,0.1999379],"genre_scores_gemma":[0.6323667,0.06498596,0.05070484,0.1004418,0.006811899,0.001014085,0.001083733,0.000753404,0.1418375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819972,"threshold_uncertainty_score":0.1254719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0820861794962103,"score_gpt":0.4977112327913644,"score_spread":0.4156250532951541,"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."}}