{"id":"W6893934236","doi":"10.5281/zenodo.6273489","title":"Elachiptera aquila Wheeler, sp. nov.","year":2003,"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":"Seta; Apex (geometry); Tibia; Scutellum; Dorsum; Sternum; Femur","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":[0.0002066064,0.0008179666,0.0003442037,0.001533827,0.0007706155,0.0005049163,0.0005854694,0.0006109885,0.007494993],"category_scores_gemma":[0.000465112,0.0002375429,0.0001481217,0.0009357579,0.0004065227,0.001679727,0.0006058514,0.0004867332,0.003204338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004631946,"about_ca_system_score_gemma":0.000229568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007459061,"about_ca_topic_score_gemma":0.01370788,"domain_scores_codex":[0.9998782,0.000008562623,0.00001536047,0.00005102325,0.0000230602,0.00002383672],"domain_scores_gemma":[0.9997844,0.0000445787,0.00006437276,0.00002252542,0.00006065652,0.0000235184],"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":[0.0005028202,0.0002387859,0.08021912,0.001708826,0.0001601917,0.004861263,0.002348996,0.002221475,0.05077827,0.002325336,0.03923042,0.8154045],"study_design_scores_gemma":[0.0001698378,0.0003278674,0.6825492,0.0008094051,0.0003058567,0.0133716,0.002188382,0.002215934,0.004678236,0.00120319,0.2920812,0.00009935995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393016,0.02745331,0.01593379,0.001238312,0.00149844,0.0009922289,0.01052398,0.002114849,0.2009436],"genre_scores_gemma":[0.9076992,0.006804339,0.01968807,0.002133044,0.0003502919,0.0005852433,0.00970169,0.00008363734,0.05295458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007494993,"threshold_uncertainty_score":0.02507323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118348640570289,"score_gpt":0.1961450954590674,"score_spread":0.1749616090533645,"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."}}