{"id":"W4381548031","doi":"10.36495/2312-0614.2023.2.39-45","title":"New locality records for Steinernema and Heterorhabditis (Nematoda: Rhabditida: Steinernematidae, Heterorhabditidae) fauna of Ukraine","year":2023,"lang":"en","type":"article","venue":"Karantin i zahist roslin","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Rhabditida; Heterorhabditis; Biology; Fauna; Heterorhabditis bacteriophora; Entomopathogenic nematode; Biological pest control; Photorhabdus; Nematology; Veterinary medicine; Botany; Ecology; Nematode","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008844574,0.0004607093,0.0008778838,0.00007679924,0.0002641581,0.0001044,0.0006048474,0.0002677135,0.0003955122],"category_scores_gemma":[0.0006544467,0.0002433172,0.0003265431,0.0007513029,0.0002013763,0.000198779,0.0002658154,0.0002111894,0.00008480273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004210565,"about_ca_system_score_gemma":0.00003986457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007580084,"about_ca_topic_score_gemma":0.001543663,"domain_scores_codex":[0.9967132,0.0001597194,0.001048363,0.0008532834,0.0004667152,0.0007586744],"domain_scores_gemma":[0.9975244,0.001081793,0.0005952208,0.0003019899,0.0002055646,0.0002909995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002001304,0.0001661235,0.01072973,0.0003851261,0.0000986264,0.00004072312,0.0003830063,0.00001623626,0.8002479,0.002142662,0.01622872,0.169361],"study_design_scores_gemma":[0.010132,0.002711076,0.6754227,0.001421508,0.0004738625,0.0003230986,0.001181427,0.004119828,0.1824788,0.01427598,0.1038068,0.003652893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935586,0.0006728635,0.001114023,0.00123836,0.0005910056,0.001001514,0.001076743,0.0003776695,0.0003691606],"genre_scores_gemma":[0.9934747,0.000204812,0.002578866,0.0002002494,0.0007333037,0.00008291316,0.0004999201,0.000015179,0.002210038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.664693,"threshold_uncertainty_score":0.992219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314487193856768,"score_gpt":0.225398584176187,"score_spread":0.2122537122376194,"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."}}