{"id":"W7104698780","doi":"10.5281/zenodo.17574334","title":"Acicnemis ryukyuana Lewis 2023","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Accession; Holotype; Field (mathematics); China","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":[0.00007221597,0.0002937554,0.0002117353,0.0004802821,0.001019878,0.0001995797,0.0003111633,0.0003364133,0.008995617],"category_scores_gemma":[0.0001266014,0.0001183644,0.0001642021,0.0005586413,0.0004168208,0.00034113,0.0006426898,0.0003972422,0.00325251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607002,"about_ca_system_score_gemma":0.000398185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979678,"about_ca_topic_score_gemma":0.03407849,"domain_scores_codex":[0.9999274,0.00000465804,0.000007579841,0.00002700029,0.00001531532,0.00001806656],"domain_scores_gemma":[0.9999537,0.000004090342,0.00001314586,0.000008169859,0.00001273622,0.000008177334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009997063,0.0002214001,0.08484087,0.001039249,0.0001027619,0.01587463,0.005274555,0.001389652,0.2879084,0.009607465,0.04328281,0.5494586],"study_design_scores_gemma":[0.0001276329,0.0005272685,0.6613193,0.0004092879,0.0001400178,0.01658588,0.008086823,0.0008609798,0.01433908,0.002319225,0.2952,0.00008442364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7571799,0.003451434,0.001532397,0.000307508,0.0002946493,0.0001593699,0.001617398,0.0003012742,0.235156],"genre_scores_gemma":[0.9643423,0.0009937347,0.0013867,0.0001827234,0.00004128889,0.00006100933,0.001177273,0.00003419559,0.03178084],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01979678,"threshold_uncertainty_score":0.03936315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184218825177704,"score_gpt":0.264175384623188,"score_spread":0.232333196371411,"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."}}