{"id":"W6930674237","doi":"10.5281/zenodo.15753323","title":"Pseudopterogramma brevivenosum DEBU","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Data collection; Statistical analysis; Stress (linguistics)","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":[0.0000571997,0.0003398826,0.0001582867,0.0007636895,0.0009134667,0.0002203761,0.0002964058,0.0003283907,0.01019432],"category_scores_gemma":[0.0001832586,0.0001486385,0.0001689144,0.0004076886,0.0003457389,0.000687982,0.0005695473,0.0004311092,0.003406369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002564823,"about_ca_system_score_gemma":0.0001236175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004839463,"about_ca_topic_score_gemma":0.009577154,"domain_scores_codex":[0.999939,0.000006224967,0.000005244428,0.00002218306,0.00001875444,0.000008648811],"domain_scores_gemma":[0.9999307,0.00001047506,0.00001897644,0.00001433773,0.00001656179,0.000008868382],"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":[0.0005352519,0.0002245761,0.03952914,0.0007816277,0.00005472339,0.006339177,0.00406651,0.0009473349,0.2165757,0.009485182,0.02928486,0.6921759],"study_design_scores_gemma":[0.00007188256,0.0005140994,0.3873574,0.0004745335,0.00007222036,0.01517989,0.003166091,0.0008124253,0.0123182,0.003136251,0.5768458,0.00005135417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.523678,0.004744505,0.006831976,0.0007097268,0.0004806036,0.0002457479,0.003179286,0.0007227551,0.4594074],"genre_scores_gemma":[0.9458418,0.001388892,0.00298146,0.000533232,0.00005029573,0.00007777729,0.002065446,0.00004702249,0.047014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019432,"threshold_uncertainty_score":0.03410345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354819192004636,"score_gpt":0.2359026298423824,"score_spread":0.212354437922336,"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."}}