{"id":"W6969036618","doi":"10.5281/zenodo.6335189","title":"Microvelia pulchella Westwood 1834","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marsh; Brackish water; Habitat; Cave; Vegetation (pathology); Range (aeronautics); Waves and shallow water; Hydrobiology","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":[0.0001274822,0.0007043402,0.0003794352,0.001529867,0.001379643,0.0006183597,0.0006644467,0.0006306412,0.01261317],"category_scores_gemma":[0.0004354319,0.0002709797,0.0001768411,0.0009316116,0.0004999857,0.00194361,0.0007651753,0.0006214663,0.00474962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008026865,"about_ca_system_score_gemma":0.0002106066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101256,"about_ca_topic_score_gemma":0.01728827,"domain_scores_codex":[0.9998218,0.00001654477,0.0000173124,0.00005955809,0.00005274039,0.00003214763],"domain_scores_gemma":[0.9998577,0.0000280219,0.00005224945,0.0000116136,0.00003475392,0.00001571646],"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":[0.0004312636,0.0001383956,0.05441388,0.001416547,0.00009154017,0.00596961,0.004001956,0.001367947,0.03505425,0.005250748,0.07103137,0.8208326],"study_design_scores_gemma":[0.00006227982,0.0002770521,0.3648749,0.0006158574,0.0001291626,0.008683234,0.002170441,0.0005780536,0.004018502,0.001933386,0.6166189,0.00003820568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4403695,0.03282458,0.008201144,0.001385624,0.001860252,0.0005182857,0.006295686,0.0009562079,0.5075887],"genre_scores_gemma":[0.9245991,0.006637634,0.003309741,0.0007853396,0.0005118506,0.000173919,0.003315574,0.00007478616,0.06059206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01261317,"threshold_uncertainty_score":0.04219526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955765128932861,"score_gpt":0.1882133624214696,"score_spread":0.138655711132141,"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."}}