{"id":"W7079609983","doi":"10.5281/zenodo.17016440","title":"Zaphne occidentalis","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; Vegetation (pathology); Ecological succession; Chine; Malaise","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":[0.00007264296,0.0005443188,0.0002698309,0.001441136,0.001750932,0.0003326626,0.0003368672,0.0001965138,0.01264815],"category_scores_gemma":[0.0001395489,0.0001865807,0.0001501568,0.0007568835,0.0004937222,0.0003325703,0.001082659,0.0002803024,0.002726808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008138092,"about_ca_system_score_gemma":0.0004731329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0502583,"about_ca_topic_score_gemma":0.2277357,"domain_scores_codex":[0.9999199,0.000004685397,0.000004121686,0.0000360072,0.00001699043,0.00001815149],"domain_scores_gemma":[0.9999495,0.000005943673,0.00001552205,0.000006838909,0.00001140954,0.00001086416],"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":[0.001026959,0.0001152898,0.1344378,0.001343956,0.0001911343,0.002601278,0.004721318,0.0005022793,0.04659595,0.006485068,0.03271712,0.7692618],"study_design_scores_gemma":[0.00009295992,0.0001349014,0.7501165,0.0003169055,0.0002186283,0.003830533,0.001922241,0.0002463821,0.002140966,0.001186889,0.2397405,0.00005261575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368143,0.007354389,0.002758988,0.0004208238,0.000342798,0.0003252633,0.006774839,0.001135544,0.2440731],"genre_scores_gemma":[0.9392166,0.001870758,0.004107521,0.0002996574,0.00007902646,0.0001817126,0.002871995,0.00007273291,0.05129991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0502583,"threshold_uncertainty_score":0.09993154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098660413743192,"score_gpt":0.2345874445207687,"score_spread":0.2136008403833368,"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."}}