{"id":"W2809768262","doi":"10.1080/23818107.2018.1474800","title":"Assessing the severity of diatom deformities using geometric morphometry","year":2018,"lang":"en","type":"article","venue":"Botany Letters","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Agence Nationale de la Recherche","keywords":"Diatom; Biology; Biological system; Computer science; Ecology","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":[0.0005554786,0.0007020312,0.0003635802,0.002611717,0.000287461,0.0007367251,0.0003768404,0.0005151716,0.001354867],"category_scores_gemma":[0.001355854,0.0002913106,0.0004834521,0.001612898,0.0006826645,0.0004709638,0.0008245895,0.0004373946,0.0003544188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003047225,"about_ca_system_score_gemma":0.0001728748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111581,"about_ca_topic_score_gemma":0.002271313,"domain_scores_codex":[0.9993677,0.00007179793,0.00006081388,0.0001797786,0.0002644273,0.0000555746],"domain_scores_gemma":[0.9990096,0.0002653484,0.0003523694,0.0001166206,0.0001941692,0.00006184195],"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":[0.0003158547,0.0001024782,0.2514381,0.0004613129,0.0001532809,0.0002854552,0.0008030595,0.005495408,0.670818,0.0006526039,0.0004618466,0.06901255],"study_design_scores_gemma":[0.000009192635,0.0002624207,0.9245551,0.00002065258,0.0000583338,0.0006209842,0.0004553868,0.01624419,0.05572103,0.0004678605,0.001532001,0.00005281406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617425,0.0004096808,0.0332016,0.00003618971,0.00003330298,0.0001489402,0.001471699,0.0003584221,0.00259781],"genre_scores_gemma":[0.9573428,0.000251917,0.03981378,0.00003695262,0.00001411942,0.0001554921,0.001331325,0.00006769103,0.0009859292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002611717,"threshold_uncertainty_score":0.004532516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908311071268122,"score_gpt":0.3199929957869874,"score_spread":0.2809098850743062,"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."}}