{"id":"W6950206691","doi":"10.5281/zenodo.4763003","title":"Allocapnia pygmaea","year":2012,"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":"Holotype; Seta; Groove (engineering); Basal (medicine); Taxonomy (biology)","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":[0.0001046015,0.0005799269,0.0002060807,0.001334395,0.001595272,0.0003639907,0.0004264605,0.0003980328,0.01893117],"category_scores_gemma":[0.0003339078,0.0001627847,0.0001346372,0.00126596,0.0005390453,0.0007724528,0.001335777,0.0004531293,0.005385544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006544702,"about_ca_system_score_gemma":0.0003780487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106524,"about_ca_topic_score_gemma":0.02595801,"domain_scores_codex":[0.9998633,0.00001096205,0.00000879187,0.00004492652,0.00005040791,0.00002163205],"domain_scores_gemma":[0.9999306,0.000007382787,0.00002259962,0.000008999493,0.00001887888,0.00001154695],"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":[0.0002978489,0.00006208983,0.02743262,0.001000839,0.0000410485,0.003422619,0.003497473,0.0008049589,0.05997662,0.007081069,0.05787127,0.8385115],"study_design_scores_gemma":[0.00005078335,0.0001766186,0.2856597,0.00060381,0.00005919383,0.008486909,0.002386324,0.0004110133,0.005114599,0.003518187,0.6934911,0.00004167592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3978435,0.01485797,0.00636079,0.000925712,0.0005306769,0.0002790705,0.003323494,0.0008989588,0.5749799],"genre_scores_gemma":[0.9023068,0.00395705,0.005384485,0.0008138824,0.0001570248,0.00009395182,0.001531252,0.0001146584,0.08564085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01893117,"threshold_uncertainty_score":0.06333113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514131571644398,"score_gpt":0.2017251282781642,"score_spread":0.1765838125617202,"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."}}