{"id":"W6912503127","doi":"10.5281/zenodo.4763182","title":"Amphinemura nigritta","year":2011,"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":"","funders":"","keywords":"Nearctic ecozone; National museum; National forest; Taxonomy (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001021117,0.000178714,0.0001212035,0.0007549734,0.0008297497,0.0002616065,0.0003250098,0.0001940923,0.007663452],"category_scores_gemma":[0.0001452544,0.000124749,0.00009327419,0.0002608451,0.0002031571,0.0003897855,0.0005936389,0.0002826058,0.002828089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190137,"about_ca_system_score_gemma":0.0001310131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003034547,"about_ca_topic_score_gemma":0.01836208,"domain_scores_codex":[0.9999084,0.000008420693,0.00000583979,0.0000412603,0.000028122,0.000007876889],"domain_scores_gemma":[0.9998965,0.00001756431,0.00003201388,0.00001728698,0.00001995936,0.00001669593],"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":[0.0005812471,0.0002218953,0.1573189,0.0007246102,0.00005377223,0.002239686,0.002800722,0.0003031843,0.3135866,0.003656824,0.01676355,0.501749],"study_design_scores_gemma":[0.00004182892,0.0004154988,0.6781948,0.0002223787,0.00005373061,0.01065455,0.001554334,0.0005041157,0.01184765,0.0009717048,0.2955045,0.0000349098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7686204,0.002266056,0.002319682,0.0003174444,0.0001160676,0.0001487879,0.002021854,0.0004010258,0.2237886],"genre_scores_gemma":[0.9602704,0.0006629606,0.005717141,0.0003554751,0.00003237392,0.00005988724,0.002317174,0.00003899131,0.03054565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007663452,"threshold_uncertainty_score":0.02563685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05634995149191922,"score_gpt":0.2503180313416581,"score_spread":0.1939680798497389,"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."}}