{"id":"W6911202302","doi":"10.5281/zenodo.10028318","title":"Heteragrion muryense Costa & Santos 2000","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":"IUCN Red List; Ridge; Couplet; Key (lock); Taxonomy (biology); Nova scotia","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":[0.0001316017,0.0003591763,0.0001752442,0.0007567707,0.0008052115,0.0003254598,0.0003196211,0.0003198759,0.005307606],"category_scores_gemma":[0.0004533776,0.0001495119,0.0001321352,0.0003820729,0.000450955,0.0007228057,0.001167377,0.0004171646,0.001251547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788608,"about_ca_system_score_gemma":0.0002509854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003039625,"about_ca_topic_score_gemma":0.006019326,"domain_scores_codex":[0.999846,0.00002337722,0.00001433828,0.00005317357,0.00004776577,0.00001529437],"domain_scores_gemma":[0.9998965,0.00002444866,0.00004193431,0.00001410297,0.00001447033,0.000008494815],"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":[0.0004694651,0.0001589801,0.03992587,0.001460713,0.0001038047,0.007340554,0.005775574,0.001399399,0.0573466,0.01751603,0.02586575,0.8426372],"study_design_scores_gemma":[0.00009014883,0.0002801818,0.2690008,0.0008444843,0.0001178068,0.0158441,0.003304912,0.000762925,0.00570773,0.004488739,0.6995149,0.00004338356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.484966,0.0165468,0.007485847,0.001833522,0.0006889222,0.000455885,0.001837858,0.0003717375,0.4858135],"genre_scores_gemma":[0.9752941,0.002413118,0.003156404,0.0003831323,0.0001147066,0.00007043777,0.0005343938,0.00001295049,0.01802067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005307606,"threshold_uncertainty_score":0.01775575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364074864975777,"score_gpt":0.2663339365246186,"score_spread":0.2299264500270409,"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."}}