{"id":"W6912644911","doi":"10.5281/zenodo.4397572","title":"Heliothrips longisensibilis Xie, Mound & Zhang 2019","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Southeast asia; Character (mathematics); Nova scotia","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":[0.0001328253,0.0003667359,0.0002104317,0.0006726701,0.0007125214,0.0002627271,0.0003227831,0.0002825635,0.005781647],"category_scores_gemma":[0.0001496889,0.0001929319,0.0001414768,0.00026144,0.0003115881,0.0005790615,0.0007527737,0.0003957079,0.001775723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002618378,"about_ca_system_score_gemma":0.0001443603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009612,"about_ca_topic_score_gemma":0.004748058,"domain_scores_codex":[0.999934,0.000006680337,0.00000662713,0.00002265676,0.00001929312,0.00001073727],"domain_scores_gemma":[0.9999405,0.00001070506,0.00001977348,0.000005668998,0.00001224089,0.00001107669],"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":[0.0007262991,0.0002036039,0.0905253,0.001123974,0.0002069653,0.00881616,0.003459994,0.001551885,0.1666362,0.0043349,0.01638725,0.7060274],"study_design_scores_gemma":[0.0001273127,0.0005931022,0.7188172,0.0004626725,0.0002208191,0.01339251,0.002784371,0.001327559,0.01850929,0.001963788,0.2417366,0.0000647011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7784542,0.009615606,0.003799832,0.0007315128,0.0002280121,0.0002090593,0.001519848,0.0005048505,0.2049371],"genre_scores_gemma":[0.9792576,0.001861778,0.001057255,0.0002453041,0.00006988813,0.00005541042,0.0008144171,0.00001983431,0.01661853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005781647,"threshold_uncertainty_score":0.01934153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430347753613287,"score_gpt":0.2161646051874779,"score_spread":0.181861127651345,"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."}}