{"id":"W7079486458","doi":"10.5281/zenodo.17016521","title":"Megaphthalma pallida","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Czech; Ecological succession; Table (database)","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":[0.00007010784,0.0002834655,0.000183312,0.000739158,0.0005611147,0.0001890998,0.0003329799,0.0002778171,0.007437769],"category_scores_gemma":[0.0001588559,0.0001381952,0.0001147922,0.0003602188,0.0003129662,0.0004869358,0.0005414005,0.000319032,0.002067891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636161,"about_ca_system_score_gemma":0.0001060702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881906,"about_ca_topic_score_gemma":0.005448699,"domain_scores_codex":[0.999944,0.000004970476,0.000004116231,0.0000247005,0.00001430259,0.000007875773],"domain_scores_gemma":[0.9999511,0.000007332319,0.00001720062,0.00000670562,0.00001004929,0.000007637869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006478598,0.0001492837,0.188244,0.001469191,0.00019005,0.004973833,0.008203203,0.001629494,0.1291547,0.00681064,0.02328505,0.6352428],"study_design_scores_gemma":[0.00007157107,0.0003686089,0.7786347,0.0002600939,0.0001270524,0.01314217,0.001146099,0.001264089,0.004446925,0.001525172,0.1989791,0.00003449247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858677,0.003465004,0.003288606,0.0002893031,0.0001106346,0.0001459291,0.002852735,0.0004433044,0.1035367],"genre_scores_gemma":[0.9852881,0.00082299,0.002078688,0.0001733321,0.00004916215,0.00006541736,0.001314769,0.00003051063,0.01017707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007437769,"threshold_uncertainty_score":0.02488178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585116600195338,"score_gpt":0.2388575909267533,"score_spread":0.2130064249248,"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."}}