{"id":"W7079588550","doi":"10.5281/zenodo.17016492","title":"Spilogona griseola","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; Northern italy; Pinus <genus>; Chine","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":[0.0002582986,0.000680425,0.0002771251,0.00135769,0.0009204588,0.0003111401,0.0004726791,0.0004875092,0.01041392],"category_scores_gemma":[0.0004167208,0.0001874976,0.0002049414,0.0003824131,0.0005609348,0.0009747169,0.0008428089,0.0005132956,0.00250133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005051979,"about_ca_system_score_gemma":0.0002119989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00409842,"about_ca_topic_score_gemma":0.009210188,"domain_scores_codex":[0.9998916,0.0000173603,0.000006242899,0.00003812078,0.0000252019,0.00002149667],"domain_scores_gemma":[0.9998877,0.00003483468,0.00002696697,0.0000110798,0.00002252829,0.00001695847],"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":[0.001084838,0.0004748184,0.05196995,0.00261564,0.00009768439,0.01259158,0.005308532,0.002851563,0.2127781,0.01659434,0.03987473,0.6537583],"study_design_scores_gemma":[0.000343973,0.001117199,0.4545973,0.00137603,0.0001160364,0.02033185,0.004094036,0.002990631,0.01142572,0.0115343,0.491961,0.0001118809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7361584,0.01192007,0.005880806,0.0008939331,0.0003735754,0.0003469331,0.002950204,0.0007987821,0.2406772],"genre_scores_gemma":[0.9782656,0.001379752,0.003344535,0.0008631133,0.00007962432,0.00008300816,0.001203899,0.00002637514,0.01475403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01041392,"threshold_uncertainty_score":0.03483802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305565113385335,"score_gpt":0.2321449861003872,"score_spread":0.2090893349665339,"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."}}