{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002242391,0.0001139625,0.0002911875,0.0000655289,0.000142208,0.0001378603,0.000175514,0.00005801775,0.00008796622],"category_scores_gemma":[0.003217054,0.00005982627,0.0001600546,0.0004430914,0.0002192335,0.0002004493,0.00005563474,0.001102735,0.00002908632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002439743,"about_ca_system_score_gemma":0.001655393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003438409,"about_ca_topic_score_gemma":5.833624e-7,"domain_scores_codex":[0.9979135,0.00007131538,0.0004583894,0.0001215344,0.0005764739,0.0008587252],"domain_scores_gemma":[0.9979342,0.0003886104,0.0001144521,0.0001646408,0.0001440235,0.001254113],"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":[0.0006445968,0.000198217,0.001420876,0.0007456109,0.0003431441,0.002554653,0.00375918,0.00005845637,0.2132526,0.0002554758,0.5857346,0.1910326],"study_design_scores_gemma":[0.0009228374,0.0007394523,0.0005599898,0.001981105,0.0000671292,0.001785753,0.0007539438,0.001593699,0.01400779,0.0002991009,0.9772,0.00008922423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6746204,0.05451909,0.09533196,0.1710287,0.003205064,0.0004260836,0.000008806107,0.0000590424,0.0008007355],"genre_scores_gemma":[0.9553695,0.009228929,0.01131682,0.02028114,0.003126115,0.000004115894,0.00000142684,0.00004752195,0.0006244714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3914654,"threshold_uncertainty_score":0.4790896,"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."}}