{"id":"W6949625488","doi":"10.5281/zenodo.14597150","title":"Erdosiella decorata","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Distribution (mathematics); Power (physics); Class (philosophy)","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":[0.00006638347,0.0004147374,0.0002095981,0.0007795024,0.0007272065,0.0002688607,0.0002302732,0.0003084924,0.007900706],"category_scores_gemma":[0.0002528498,0.0001336871,0.0001330904,0.0003894245,0.0002935718,0.0004977133,0.0007988053,0.0002410551,0.002661532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001588,"about_ca_system_score_gemma":0.0002036307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005021066,"about_ca_topic_score_gemma":0.01206467,"domain_scores_codex":[0.9998893,0.000008592699,0.00001060755,0.00004265375,0.00002458986,0.00002434518],"domain_scores_gemma":[0.9999087,0.00001226279,0.00003211628,0.000008944612,0.00002573091,0.00001226429],"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":[0.0008716502,0.0001220705,0.07949221,0.001638766,0.0000577299,0.004476827,0.002730379,0.0007493407,0.1660652,0.00576224,0.03038598,0.7076476],"study_design_scores_gemma":[0.00004970119,0.00021932,0.4328946,0.0005373578,0.00006237447,0.00570637,0.001438885,0.0003193396,0.007079678,0.0007653654,0.5509003,0.00002687317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6309862,0.01047157,0.004698883,0.0005763735,0.0004779596,0.0001892831,0.004890583,0.0002736438,0.3474354],"genre_scores_gemma":[0.9457013,0.003371252,0.003356085,0.0003817607,0.00008493702,0.000100175,0.002649955,0.00003407285,0.0443205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007900706,"threshold_uncertainty_score":0.02643055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364161570533149,"score_gpt":0.239805745164711,"score_spread":0.2161641294593795,"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."}}