{"id":"W7093299640","doi":"10.5281/zenodo.17418573","title":"Rediscovery of the greater chestnut weevil highlights the power of digital platforms in biodiversity research and conservation","year":2025,"lang":"","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Biodiversity; Weevil; Biodiversity conservation; Power (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001085869,0.0003795807,0.0005118276,0.0001821076,0.002342953,0.0005542724,0.002528963,0.000370021,0.002792193],"category_scores_gemma":[0.001945277,0.0002745913,0.0001469776,0.001100934,0.002466241,0.0003037999,0.007163888,0.001221583,0.00008533109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002722983,"about_ca_system_score_gemma":0.00004048014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009517255,"about_ca_topic_score_gemma":0.000002545547,"domain_scores_codex":[0.9967824,0.0001325259,0.0008010957,0.0007677517,0.000980269,0.0005360144],"domain_scores_gemma":[0.9963278,0.0002778712,0.0004966468,0.001511788,0.001278987,0.0001069617],"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":[0.000578815,0.0003778936,0.0002669481,0.002371233,0.0002657173,0.0000154062,0.001791442,0.000002311852,0.006862218,0.0001432307,0.9869369,0.0003879034],"study_design_scores_gemma":[0.001061692,0.0001275794,0.0006618466,0.0008691801,0.00007424802,0.00005073028,0.003194245,0.000009455393,0.04386831,0.0002935799,0.9494876,0.0003015893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4515554,0.0003102855,0.00000277419,0.003672098,0.0001171533,0.0007202206,0.5113702,0.00005450133,0.03219734],"genre_scores_gemma":[0.7567959,0.001109615,0.000003331699,0.00005140948,0.00009851425,1.947037e-7,0.238395,0.0002047105,0.003341307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3052405,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405937464532226,"score_gpt":0.2423960383828044,"score_spread":0.2018022919295818,"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."}}