{"id":"W6911768564","doi":"10.5281/zenodo.14981279","title":"Sclerocoelus cubus Kuwahara, Marshall & Paiero, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Head (geology); Etymology; Deep blue","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":[0.0001507306,0.001208224,0.00035414,0.002920748,0.001625618,0.0007481866,0.0005628623,0.0007110023,0.01099371],"category_scores_gemma":[0.0005888857,0.0003713853,0.0002332368,0.002321903,0.0006525574,0.001134643,0.0006771368,0.0005880859,0.005652649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055625,"about_ca_system_score_gemma":0.001114164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0706991,"about_ca_topic_score_gemma":0.1046866,"domain_scores_codex":[0.9998313,0.00001361806,0.00002091487,0.00004768033,0.00004477632,0.00004168059],"domain_scores_gemma":[0.9996946,0.0000320444,0.0001148901,0.00002862204,0.00007360508,0.00005620928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009913469,0.0002629194,0.1114336,0.001361955,0.0002008079,0.007729005,0.002525147,0.001013658,0.02210637,0.002415254,0.03945476,0.8105052],"study_design_scores_gemma":[0.0001325987,0.0001745711,0.7222096,0.0007580426,0.0002812273,0.0131645,0.003098335,0.0009544613,0.002759251,0.0005230039,0.255881,0.00006339807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5209956,0.02231793,0.007077958,0.001264579,0.001194102,0.00197916,0.01284964,0.001604749,0.4307163],"genre_scores_gemma":[0.8989162,0.01223658,0.01063474,0.001082399,0.0003595157,0.0009477144,0.009807049,0.0002010214,0.06581479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0706991,"threshold_uncertainty_score":0.1405752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264369460876645,"score_gpt":0.267430563852698,"score_spread":0.2347868692439315,"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."}}