{"id":"W2934763937","doi":"10.1038/s41598-019-41959-8","title":"Intense bone fluorescence reveals hidden patterns in pumpkin toadlets","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Muséum National d'Histoire Naturelle; Université Paris-Saclay; Université Paris Diderot; Universidade Estadual de Campinas; Université d'Orléans; Centre National de la Recherche Scientifique; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Université de Versailles Saint-Quentin-en-Yvelines; Fundação de Amparo à Pesquisa do Estado de São Paulo; York University; Université de Lausanne; New York University Abu Dhabi","keywords":"Fluorescence; Computer science; Physics; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004805556,0.0001448056,0.0001146136,0.0003862134,0.0002127991,0.0002434633,0.0001604975,0.0002521112,0.0012675],"category_scores_gemma":[0.0001051233,0.0001664852,0.0001333602,0.0001365028,0.0003106934,0.0001957042,0.0003397085,0.0004808932,0.000250037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655486,"about_ca_system_score_gemma":0.00008814863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007587387,"about_ca_topic_score_gemma":0.001622603,"domain_scores_codex":[0.9999565,0.000002800328,0.000001921223,0.0000180436,0.00001104579,0.00000967816],"domain_scores_gemma":[0.9998411,0.00004009734,0.00005297015,0.00001284479,0.00001900167,0.00003411394],"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":[0.00004745403,0.000004138278,0.001147972,0.00001896468,0.000002251095,0.0001227077,0.00005222134,0.00002381637,0.9975374,0.0001055363,0.00001370702,0.0009238993],"study_design_scores_gemma":[0.00003035766,0.0005652413,0.2969599,0.00003342831,0.00005624974,0.00542949,0.0008089287,0.001273285,0.6876292,0.000440543,0.006722993,0.0000504923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996972,0.0002175722,0.001554801,0.00002448325,0.00000791842,0.000004540856,0.000141078,0.00002140115,0.001056233],"genre_scores_gemma":[0.9951684,0.0001546541,0.002470643,0.00004139555,0.000003607085,0.00001034882,0.000189944,0.00002530753,0.001935743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012675,"threshold_uncertainty_score":0.004240215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283625094240211,"score_gpt":0.2567716482478078,"score_spread":0.2439353973054057,"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."}}