{"id":"W6967446477","doi":"10.5281/zenodo.10166913","title":"Aleochara (Xenochara) lanuginosa Gravenhorst 1802","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Cow dung; Woodland; Habitat; Carrion","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008238976,0.0007162102,0.0002991132,0.0009849215,0.0007712517,0.0003224728,0.000446236,0.0004638872,0.02254354],"category_scores_gemma":[0.0002273202,0.0001583462,0.0001394401,0.0006730892,0.0002901387,0.0008888863,0.0007943435,0.0003455038,0.008203465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004297006,"about_ca_system_score_gemma":0.0002128455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007480775,"about_ca_topic_score_gemma":0.01228902,"domain_scores_codex":[0.9998798,0.00001153845,0.00001262052,0.00004890459,0.00002688923,0.00002009335],"domain_scores_gemma":[0.9999207,0.00001262006,0.00003200959,0.000008626297,0.00001619986,0.000009719733],"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":[0.0009288712,0.0001224129,0.0322379,0.0009726514,0.00006412922,0.008200105,0.001734523,0.0007069707,0.1109101,0.005610433,0.02434812,0.8141637],"study_design_scores_gemma":[0.0001114241,0.0007573484,0.2033851,0.000753478,0.0001439724,0.01343164,0.003139776,0.0003976131,0.01237929,0.001850075,0.7635892,0.00006097584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3566398,0.0133876,0.004786306,0.0007287534,0.0008254437,0.0005128866,0.01100172,0.0004833942,0.6116341],"genre_scores_gemma":[0.920621,0.00506704,0.004148762,0.0003384887,0.0002041801,0.0002232487,0.005130564,0.00004799345,0.06421889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02254354,"threshold_uncertainty_score":0.07541567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529814221581293,"score_gpt":0.2252505883241058,"score_spread":0.1999524461082929,"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."}}