{"id":"W6913138858","doi":"10.5281/zenodo.7994965","title":"Parametriocnemus lundbeckii","year":2018,"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":"Trent University; Campbell Scientific (Canada)","funders":"","keywords":"Larva; Pupa; Biodiversity; Plank; Barcode","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":[0.00007812236,0.000471943,0.0002131473,0.001117272,0.000900517,0.0003463502,0.0002058761,0.0003952097,0.004855376],"category_scores_gemma":[0.0003823581,0.0001646461,0.0001424434,0.0004447622,0.0003097845,0.0005764213,0.0008292466,0.0002875485,0.002717042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429016,"about_ca_system_score_gemma":0.0003468222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004807017,"about_ca_topic_score_gemma":0.0116861,"domain_scores_codex":[0.9999137,0.000006303233,0.00001156341,0.00002870604,0.00002388267,0.00001585532],"domain_scores_gemma":[0.9999212,0.00001057283,0.00002860304,0.000006165851,0.00001267671,0.00002081753],"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":[0.001448264,0.0003739174,0.1866248,0.001523574,0.000117589,0.004864347,0.003256072,0.002151363,0.1828423,0.005258726,0.01149125,0.6000479],"study_design_scores_gemma":[0.00009565742,0.0007276594,0.6819256,0.0009505101,0.0001648475,0.01151283,0.002497802,0.001534971,0.01745556,0.002300241,0.2807483,0.0000860145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8474876,0.00860167,0.00296945,0.0002483454,0.0003776433,0.0001338401,0.00173263,0.0003271429,0.1381218],"genre_scores_gemma":[0.9787247,0.002078105,0.002087912,0.0001023845,0.00005579008,0.00004220125,0.00117993,0.00001694327,0.01571202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004855376,"threshold_uncertainty_score":0.0162428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573788549369637,"score_gpt":0.2120845239769593,"score_spread":0.1863466384832629,"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."}}