{"id":"W6912569584","doi":"10.5281/zenodo.5662599","title":"Soyedina washingtoni","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tributary; Holotype; Spring (device); Fish <Actinopterygii>","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":[0.0001102123,0.0009759705,0.0003744287,0.002290429,0.002452984,0.0008975501,0.0007186424,0.0005675561,0.0441196],"category_scores_gemma":[0.000430583,0.0003354681,0.0001913946,0.001000572,0.0007210184,0.00158275,0.001448159,0.001078028,0.01538814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010749,"about_ca_system_score_gemma":0.0006651059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01865379,"about_ca_topic_score_gemma":0.04391876,"domain_scores_codex":[0.9998642,0.00001094971,0.00001259518,0.00005316248,0.00003833578,0.00002063025],"domain_scores_gemma":[0.9998772,0.0000183805,0.00003784934,0.00001568685,0.00003405757,0.0000167504],"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":[0.0002245065,0.00008414772,0.006765446,0.0006360257,0.00003017125,0.001132389,0.001466105,0.0005388375,0.01010116,0.01186141,0.07207611,0.8950837],"study_design_scores_gemma":[0.00002767114,0.00004066002,0.03163791,0.0004454235,0.00003922161,0.001665296,0.0007375422,0.0002705958,0.001301758,0.002580995,0.9612272,0.00002570463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06338676,0.0265158,0.008464917,0.001503035,0.001701923,0.0005084256,0.00604429,0.001131074,0.8907438],"genre_scores_gemma":[0.6337192,0.01856489,0.02241063,0.002321877,0.0007942696,0.0005646757,0.007534771,0.0002685592,0.3138212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0441196,"threshold_uncertainty_score":0.1475947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551431417976437,"score_gpt":0.1886535425090745,"score_spread":0.1731392283293101,"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."}}