{"id":"W6968496142","doi":"10.5281/zenodo.5095768","title":"Clinocera nigra Meigen 1804","year":2007,"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":"Single specimen; Hymenoptera; Taxonomy (biology); Type (biology); West virginia","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":[0.0001521865,0.0009168085,0.0004890159,0.001855851,0.001633151,0.0005630841,0.001102899,0.0009826822,0.01836287],"category_scores_gemma":[0.0007148877,0.0002589636,0.0001335662,0.001168586,0.0006765824,0.001565442,0.0009433361,0.0007597473,0.008830423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009543516,"about_ca_system_score_gemma":0.0004805557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116594,"about_ca_topic_score_gemma":0.02969814,"domain_scores_codex":[0.9997279,0.00002214386,0.00002194475,0.00009263454,0.0001080238,0.00002737392],"domain_scores_gemma":[0.9997256,0.00002965762,0.00008721873,0.0000207491,0.0001129904,0.00002375199],"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":[0.0003751421,0.0001294471,0.05067382,0.001060042,0.00006344853,0.00393112,0.003468184,0.0005612614,0.04367794,0.004657732,0.08367604,0.8077258],"study_design_scores_gemma":[0.0000956129,0.0002417393,0.2658918,0.0007554941,0.0000549689,0.009792387,0.001950215,0.0002370411,0.00292852,0.001290388,0.7167226,0.00003919772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2456299,0.02498512,0.004169784,0.001387095,0.001439217,0.001061202,0.006114032,0.001053,0.7141607],"genre_scores_gemma":[0.9284939,0.005025834,0.003909479,0.0008490786,0.0004552325,0.0003051168,0.004394183,0.0001259299,0.05644121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01836287,"threshold_uncertainty_score":0.06142998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366310357053571,"score_gpt":0.2153285954167369,"score_spread":0.1916654918462011,"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."}}