{"id":"W7084615472","doi":"10.6084/m9.figshare.30279640.v1","title":"Using insects for sustainable waste management of superabundant animals","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Contact Mechanics and Variational Inequalities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frass; Feces; Goose; Larva; Abundance (ecology); Omnivore","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000118921,0.0001781254,0.0002676018,0.0001906866,0.0001034928,0.0001881061,0.0009741569,0.0001099034,0.002774767],"category_scores_gemma":[0.0001623443,0.0001826165,0.0001155536,0.0002520992,6.96085e-7,0.0001769201,0.0009771985,0.00008662302,0.000005963585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009595076,"about_ca_system_score_gemma":0.000300413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009995256,"about_ca_topic_score_gemma":0.00000693128,"domain_scores_codex":[0.9988533,0.00002842763,0.0002915963,0.0003220628,0.0002311969,0.0002734452],"domain_scores_gemma":[0.9986223,0.0001635348,0.0001903289,0.0005703908,0.0004171345,0.00003630836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003947692,0.00001977525,7.955385e-9,0.004769427,0.00005992088,0.00002294311,0.00001472895,0.000014593,0.000002374874,0.1008371,0.8942027,0.0000524504],"study_design_scores_gemma":[0.0001937953,0.00005715792,8.742495e-7,0.002625527,0.00002529279,0.000001137251,0.00007322139,0.005520869,0.000180164,0.001707652,0.9894218,0.0001925306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.633993e-7,0.0002955298,0.001446285,0.00002519561,0.0001023976,0.0005581524,0.9974521,0.00001779744,0.0001016814],"genre_scores_gemma":[0.00007717415,0.00001127865,0.001898512,0.00008367767,0.00006416271,0.0002133731,0.9969282,0.000004900784,0.0007187789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09912949,"threshold_uncertainty_score":0.9981368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08887656867900645,"score_gpt":0.3246871065448819,"score_spread":0.2358105378658754,"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."}}