{"id":"W6894172230","doi":"10.5281/zenodo.7688355","title":"Paraphaenocladius exagitans subsp. exagitans","year":2023,"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":"Ditch; Marchantia polymorpha; Habitat; Larva; Thallus; Herbivore","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":[0.0001331278,0.0005931293,0.0002521163,0.001119544,0.001312205,0.0004215482,0.0005537479,0.0004955272,0.009146565],"category_scores_gemma":[0.0004517475,0.0001760253,0.000172824,0.0008387999,0.0004481325,0.0007168145,0.0008937253,0.000645924,0.002486986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005182583,"about_ca_system_score_gemma":0.0003980433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008424119,"about_ca_topic_score_gemma":0.01539783,"domain_scores_codex":[0.9998641,0.00001286014,0.00001266364,0.00003926173,0.00005100959,0.00002007137],"domain_scores_gemma":[0.9998411,0.00002389725,0.00004359728,0.00002612458,0.0000434455,0.00002172664],"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":[0.001151873,0.0003287835,0.1303738,0.001189083,0.0001894948,0.01022016,0.006462263,0.002089008,0.1204592,0.009342356,0.01656803,0.701626],"study_design_scores_gemma":[0.00008339559,0.0004085881,0.5553554,0.0005972084,0.0001811317,0.01325619,0.004169356,0.001287177,0.01488595,0.004192914,0.4055302,0.00005251564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7180117,0.005215527,0.004417953,0.0005687642,0.000637418,0.0002565168,0.002586299,0.0002915336,0.2680144],"genre_scores_gemma":[0.9745194,0.00125118,0.002705105,0.0002708576,0.0001506469,0.00007734488,0.002130317,0.00002995706,0.01886528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009146565,"threshold_uncertainty_score":0.03059834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182633909702699,"score_gpt":0.2101823268595669,"score_spread":0.1783559877625399,"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."}}