{"id":"W3210332700","doi":"10.1073/pnas.2109168118","title":"Configurational fingerprints of multicellular living systems","year":2021,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; National Institute of General Medical Sciences; University of Ottawa; Massachusetts Institute of Technology; National Institutes of Health; National Science Foundation","keywords":"Multicellular organism; Morphogenesis; Biological system; Fingerprint (computing); Monolayer; Phase transition; Function (biology); Biology; Materials science; Computer science; Nanotechnology; Evolutionary biology; Cell; Artificial intelligence; Physics","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":[0.0001828189,0.0001753733,0.0001994022,0.001474604,0.0003723415,0.0008112573,0.0003126811,0.0002890782,0.001385863],"category_scores_gemma":[0.001292963,0.0002078427,0.0001351437,0.0007627582,0.0009493835,0.0008772969,0.0005850872,0.0004241279,0.0002203892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987014,"about_ca_system_score_gemma":0.0001774962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004086375,"about_ca_topic_score_gemma":0.0004243212,"domain_scores_codex":[0.999757,0.00004464559,0.00001099719,0.00005570304,0.000096943,0.0000348598],"domain_scores_gemma":[0.9991575,0.0001597471,0.0002140133,0.0002471479,0.0001045415,0.0001168947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002138557,0.0001050531,0.02610687,0.0002735191,0.00009933997,0.0005043399,0.0007298015,0.09024527,0.4980801,0.2641544,0.001961317,0.1175262],"study_design_scores_gemma":[0.0000275742,0.0002200757,0.1090241,0.00006524141,0.00004558887,0.002074245,0.00054699,0.4951647,0.1360415,0.2401346,0.01642178,0.0002336936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7802545,0.00120396,0.1997174,0.0002945597,0.00004240673,0.00005320492,0.0008049717,0.000958367,0.0166705],"genre_scores_gemma":[0.9836656,0.0001759906,0.01548645,0.00002532524,0.0000122202,0.00001697625,0.0001556522,0.000049864,0.0004118959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001474604,"threshold_uncertainty_score":0.004636168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078581911254409,"score_gpt":0.2903874842390533,"score_spread":0.2596016651265092,"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."}}