{"id":"W6911013100","doi":"10.5281/zenodo.10166655","title":"Hydraena (Holcohydraena) angulicollis Notman","year":2023,"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":"State (computer science); Forensic examination; Locality","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":[0.00009025173,0.000311163,0.0001347618,0.0005440675,0.001145475,0.0002683382,0.0002935396,0.0001944624,0.00659395],"category_scores_gemma":[0.0001763203,0.0001552171,0.0001111182,0.0002881827,0.0004146943,0.0006080603,0.0005411286,0.0002661747,0.001358141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418411,"about_ca_system_score_gemma":0.0005366919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03825745,"about_ca_topic_score_gemma":0.1017714,"domain_scores_codex":[0.9999431,0.00000433677,0.000006087934,0.00001764183,0.00001511682,0.00001368457],"domain_scores_gemma":[0.9998797,0.00001300221,0.00003290044,0.00001153904,0.00004188744,0.00002098593],"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":[0.0005602235,0.0001735827,0.1457776,0.0008277676,0.0001079377,0.002995901,0.003060336,0.0008941779,0.1389453,0.004239114,0.01095291,0.6914653],"study_design_scores_gemma":[0.00006538785,0.0003688714,0.8250837,0.0003151405,0.00009642581,0.003516317,0.001851235,0.0004694021,0.009995573,0.0008368724,0.1573585,0.00004261317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067831,0.00514,0.001593953,0.0003257547,0.0001812564,0.0001744639,0.001141602,0.0002370072,0.08442291],"genre_scores_gemma":[0.9601868,0.002633755,0.002608163,0.0003376384,0.00005044309,0.0001111141,0.000748413,0.00001630975,0.03330728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03825745,"threshold_uncertainty_score":0.07606953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797047963290585,"score_gpt":0.2655190917600367,"score_spread":0.2275486121271308,"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."}}