{"id":"W6969353239","doi":"10.5281/zenodo.7409843","title":"Scrobipalpa acuminatella","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Intraspecific competition; Chine; Betula pubescens; Shot (pellet)","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":[0.00007407207,0.0006490966,0.0002585376,0.001581882,0.001071466,0.000351181,0.0003246846,0.0002482116,0.013843],"category_scores_gemma":[0.0001445709,0.0001928068,0.0001978861,0.0009340254,0.000326701,0.0004980547,0.0006836707,0.0004959546,0.005433518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177797,"about_ca_system_score_gemma":0.0002442097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084616,"about_ca_topic_score_gemma":0.02152082,"domain_scores_codex":[0.999907,0.000009921799,0.000004704621,0.00003035164,0.00002915478,0.00001888126],"domain_scores_gemma":[0.9999211,0.0000135726,0.00001781463,0.000009564648,0.00002228862,0.00001578078],"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":[0.001107599,0.0004048245,0.04064231,0.001896551,0.0001443237,0.005122855,0.002414259,0.001401561,0.3195805,0.00493903,0.02220303,0.6001432],"study_design_scores_gemma":[0.0001579089,0.0005806611,0.510023,0.0003827675,0.0001639327,0.008124053,0.001566449,0.001158784,0.01672609,0.002338046,0.4587267,0.00005162229],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6383665,0.008978693,0.005545012,0.0005026336,0.0001776283,0.0003088001,0.006591166,0.001150326,0.3383793],"genre_scores_gemma":[0.9520976,0.002124137,0.003756184,0.0005882751,0.00005621174,0.00009749472,0.004710838,0.00007671007,0.03649256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.013843,"threshold_uncertainty_score":0.04630947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07454359391499105,"score_gpt":0.2880865863056424,"score_spread":0.2135429923906514,"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."}}