{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008947268,0.0001077573,0.0001733733,0.0001928111,0.0002695346,0.0002623528,0.0003795376,0.00003745205,0.0003372039],"category_scores_gemma":[0.0001421549,0.00007174216,0.00006887746,0.0008967568,0.0005018199,0.000477195,0.0001752868,0.0001009973,0.00006851689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007057028,"about_ca_system_score_gemma":0.00006389152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004011438,"about_ca_topic_score_gemma":0.000004767698,"domain_scores_codex":[0.9985842,0.00009301931,0.0002253014,0.0001967082,0.0005068534,0.000393931],"domain_scores_gemma":[0.9992366,0.0001732944,0.0001198959,0.0003237024,0.00008826108,0.0000581991],"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":[0.000006049057,0.00002913872,0.02308111,0.00002692392,0.00001126546,0.000008087688,0.0001333625,0.00001151273,0.9732255,0.0000641471,0.0005998248,0.002803134],"study_design_scores_gemma":[0.0003684374,0.00006144576,0.270095,0.00008342197,0.00003478374,0.00005994519,0.000662363,0.001703534,0.7243251,0.0001264322,0.002135488,0.0003441091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958412,0.0001532853,0.002550811,0.0003845698,0.0003182931,0.00009731732,0.00001123502,0.00003022578,0.0006130358],"genre_scores_gemma":[0.9969385,0.000005635792,0.002002615,0.0007621495,0.0002500483,0.000003193476,4.03368e-7,0.00001470695,0.0000227971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489004,"threshold_uncertainty_score":0.3692146,"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."}}