{"id":"W6968173136","doi":"10.5281/zenodo.13126450","title":"Polypedilum undetermined Kieffer 1912","year":2024,"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":"Trent University","funders":"","keywords":"Subgenus; Taxonomy (biology); Key (lock); DNA barcoding; GenBank","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":[0.0001224257,0.0007767706,0.0004454445,0.003055617,0.001688922,0.0008100739,0.0008018975,0.0007179261,0.02061369],"category_scores_gemma":[0.0007511739,0.0002718994,0.0001894822,0.001274776,0.0006376624,0.002363503,0.001011973,0.0006703243,0.007466701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007056587,"about_ca_system_score_gemma":0.0003635752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003993699,"about_ca_topic_score_gemma":0.00580169,"domain_scores_codex":[0.9996916,0.0000204698,0.00002889319,0.0001277213,0.00008587089,0.00004542585],"domain_scores_gemma":[0.9997428,0.00004568442,0.000111575,0.00003972767,0.00003535359,0.00002477859],"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":[0.0003564834,0.0001411217,0.01440404,0.0007973721,0.0000645245,0.003392306,0.001057094,0.0005152777,0.01908891,0.005350649,0.01575715,0.9390751],"study_design_scores_gemma":[0.00006087311,0.0003439198,0.1381227,0.0007350759,0.0001728121,0.01812675,0.001047279,0.0009578982,0.004943326,0.002083052,0.833344,0.00006235013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3095744,0.0506308,0.01393141,0.0009355621,0.003502197,0.000675937,0.00732105,0.001678777,0.6117499],"genre_scores_gemma":[0.924094,0.006837717,0.008030266,0.0006066632,0.0004322191,0.000136628,0.002978333,0.00007456397,0.05680963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02061369,"threshold_uncertainty_score":0.06895971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465190227541543,"score_gpt":0.2081516518330752,"score_spread":0.1534997495576598,"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."}}