{"id":"W6930763428","doi":"10.5281/zenodo.14981311","title":"Sclerocoelus masneri Kuwahara, Marshall & Paiero, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"National laboratory; National park; Honour; Population; National standard","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":[0.0001351535,0.001091765,0.0003296995,0.001889618,0.001343515,0.0005087177,0.0005181182,0.0006055809,0.008688392],"category_scores_gemma":[0.0005431841,0.0003091876,0.0001885911,0.001451619,0.000565904,0.001420133,0.0006180839,0.0005602423,0.005124888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006481536,"about_ca_system_score_gemma":0.0006841296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0271358,"about_ca_topic_score_gemma":0.06627659,"domain_scores_codex":[0.9998758,0.00001183172,0.00001559622,0.00003872063,0.00003589696,0.00002212776],"domain_scores_gemma":[0.9997614,0.0000296621,0.00009870306,0.00002493144,0.00005047166,0.00003496743],"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":[0.0007892971,0.0001891433,0.09625711,0.001148758,0.0002088966,0.004924116,0.00276661,0.001217693,0.03524734,0.002378783,0.02686479,0.8280075],"study_design_scores_gemma":[0.000133627,0.0002821164,0.7922085,0.001081371,0.0003644101,0.01407833,0.003431854,0.001443286,0.003574657,0.001035552,0.1823014,0.00006477969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6198074,0.02275922,0.009267286,0.0008104487,0.001004654,0.001167948,0.006727983,0.001254229,0.3372009],"genre_scores_gemma":[0.9395663,0.01042326,0.008838015,0.0006617773,0.0002844331,0.0005184857,0.003616396,0.0000865469,0.03600481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0271358,"threshold_uncertainty_score":0.05395567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337835586121911,"score_gpt":0.2510480660534361,"score_spread":0.227669710192217,"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."}}