{"id":"W6893072241","doi":"10.5281/zenodo.14597095","title":"Cleruchus neivai","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Distribution (mathematics); Feature (linguistics); Holotype; Compression (physics)","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":[0.0001585721,0.0003471512,0.0003841624,0.001380459,0.001021125,0.0004341808,0.0003332489,0.0003559249,0.004988528],"category_scores_gemma":[0.0003816239,0.0001414105,0.0001124404,0.0005108716,0.0003772864,0.000512349,0.0006615959,0.0003808367,0.002325548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000652089,"about_ca_system_score_gemma":0.0003539821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112723,"about_ca_topic_score_gemma":0.02582113,"domain_scores_codex":[0.9997784,0.00001920479,0.00001687058,0.0000794748,0.00006364712,0.00004233465],"domain_scores_gemma":[0.9998498,0.00002471108,0.00004382824,0.00002056348,0.00004210763,0.00001892504],"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":[0.001711908,0.0002014362,0.1300267,0.001259281,0.00007614302,0.003675111,0.003095196,0.0008799916,0.1219245,0.006515446,0.03115648,0.6994779],"study_design_scores_gemma":[0.00004220612,0.00016779,0.5675276,0.0006846002,0.00008155905,0.004888564,0.0009071238,0.000393784,0.009624309,0.0007201931,0.4149299,0.00003240336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4847981,0.01671406,0.002832106,0.0003745258,0.0003726162,0.0002665237,0.003813838,0.0002073855,0.4906207],"genre_scores_gemma":[0.9240295,0.004187677,0.003471059,0.0003528505,0.00009410069,0.0001324624,0.003543944,0.00003301081,0.06415549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01112723,"threshold_uncertainty_score":0.02212495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455197658109475,"score_gpt":0.2212458981461022,"score_spread":0.1966939215650075,"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."}}