{"id":"W6893766552","doi":"10.5281/zenodo.5888630","title":"Pyractomena angulata","year":2022,"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":"Context (archaeology); Identification (biology); Ectotherm; Disease","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":[0.00006071517,0.0003178116,0.0002249412,0.001103061,0.00165469,0.0003553753,0.0003164635,0.0002258987,0.01095292],"category_scores_gemma":[0.0001609609,0.000122587,0.000129291,0.0008627775,0.000358815,0.0004366388,0.0005431238,0.0003015648,0.002443248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405648,"about_ca_system_score_gemma":0.0009151371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2334586,"about_ca_topic_score_gemma":0.5256931,"domain_scores_codex":[0.9999281,0.000003849534,0.000004109462,0.00003143033,0.00001682577,0.00001568184],"domain_scores_gemma":[0.9999191,0.000008053087,0.00002333338,0.000004768076,0.0000330107,0.00001177818],"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":[0.0005232475,0.0001521676,0.2611229,0.0006384477,0.00008651226,0.001868949,0.003827792,0.0007134351,0.03178123,0.00396923,0.02714254,0.6681735],"study_design_scores_gemma":[0.00002169326,0.0000689133,0.8104377,0.0001396592,0.00005712765,0.001587865,0.001145973,0.0002714477,0.001265435,0.000253941,0.1847365,0.0000137581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6008973,0.003753182,0.002244099,0.0002684782,0.0001489936,0.0002428814,0.0067902,0.0005825881,0.3850722],"genre_scores_gemma":[0.957129,0.001294462,0.002500509,0.000232079,0.00003216687,0.00007991377,0.003068816,0.00002941215,0.03563367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2334586,"threshold_uncertainty_score":0.4641994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177230090976841,"score_gpt":0.1958884971497789,"score_spread":0.1741161962400105,"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."}}