{"id":"W6911830681","doi":"10.5281/zenodo.13915079","title":"Sacculogalumna zuliaensis Ermilov, 2024, sp. nov.","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Rostrum; Seta; Paratype; Reticulate","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":[0.0001621712,0.001112676,0.0004639324,0.001493574,0.001242958,0.0006212178,0.0008802995,0.0007230813,0.005289148],"category_scores_gemma":[0.0005118382,0.000259311,0.0001751641,0.001764705,0.0005120035,0.0009327328,0.0006813662,0.0005690039,0.003498608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092211,"about_ca_system_score_gemma":0.0007134016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04550737,"about_ca_topic_score_gemma":0.102117,"domain_scores_codex":[0.9998744,0.00001433715,0.00001480009,0.00004195814,0.0000267566,0.00002785838],"domain_scores_gemma":[0.9998036,0.00003719057,0.00007051885,0.00002109334,0.00004393008,0.00002354405],"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":[0.001496399,0.0002416632,0.1359655,0.002637077,0.0003820876,0.005876673,0.002985463,0.003853299,0.04670849,0.002011935,0.03574885,0.7620925],"study_design_scores_gemma":[0.0003448646,0.0003673632,0.7726452,0.001481811,0.0003596491,0.006988849,0.003704219,0.001883546,0.002530101,0.0008552837,0.2087597,0.00007938628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7766119,0.04856483,0.008221934,0.001090692,0.00149015,0.001420266,0.02872307,0.001215745,0.1326614],"genre_scores_gemma":[0.9543472,0.007993253,0.009647842,0.0007376659,0.0002495818,0.0006643771,0.01409552,0.00007396329,0.01219047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04550737,"threshold_uncertainty_score":0.09048498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053009415753162,"score_gpt":0.2363550372678634,"score_spread":0.2158249431103318,"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."}}