{"id":"W6968581438","doi":"10.5281/zenodo.4401219","title":"Paragrallomyia citrina Ferro & Marshall 2020, new species","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Spermatheca; Seta; Pectoral girdle; Dorsum; Femur","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000106087,0.000455516,0.0002819634,0.0008453623,0.0008940622,0.0002856682,0.0004789563,0.0003794034,0.007121493],"category_scores_gemma":[0.0001421384,0.0001594115,0.0001046815,0.0004844897,0.0004464539,0.0007169744,0.0004492156,0.000341572,0.001646062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005432589,"about_ca_system_score_gemma":0.0002999928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056113,"about_ca_topic_score_gemma":0.04157088,"domain_scores_codex":[0.9999471,0.00000344032,0.000003818924,0.00002513031,0.00001244755,0.000008172126],"domain_scores_gemma":[0.9999309,0.00001227006,0.00002438207,0.000006945164,0.00001175644,0.00001370912],"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":[0.0009690239,0.0002652974,0.1028416,0.0022672,0.00009353,0.008973821,0.005674042,0.001569602,0.1003178,0.005406843,0.03953164,0.7320896],"study_design_scores_gemma":[0.0001253362,0.0003808066,0.5369786,0.0004896653,0.00009109353,0.01050997,0.001542065,0.0009327728,0.002077949,0.0007905375,0.44603,0.00005129933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6792835,0.03362849,0.002963955,0.00116099,0.0004807077,0.0005568708,0.005133572,0.0008422466,0.2759497],"genre_scores_gemma":[0.9568714,0.006021502,0.003834213,0.0007703513,0.0001691777,0.000184028,0.002791119,0.00002798959,0.02933026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056113,"threshold_uncertainty_score":0.0238238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09977119463394285,"score_gpt":0.2560265759162546,"score_spread":0.1562553812823118,"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."}}