{"id":"W7078170949","doi":"10.5281/zenodo.16989060","title":"Steatoda bipunctata","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":"Context (archaeology); Holotype; Population; Key (lock)","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":[0.00008712067,0.0006988135,0.0002881885,0.002123376,0.0009813855,0.0004079721,0.0003475434,0.0003097054,0.02409218],"category_scores_gemma":[0.0002519358,0.0001836177,0.0001952704,0.001111667,0.000264501,0.0007659963,0.0008310755,0.0003462257,0.01079616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742145,"about_ca_system_score_gemma":0.0001221928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007103,"about_ca_topic_score_gemma":0.01248418,"domain_scores_codex":[0.9998574,0.00001234863,0.00001215765,0.00004588725,0.00005144817,0.00002067707],"domain_scores_gemma":[0.9998672,0.00001953425,0.00003410933,0.000009187636,0.00004522628,0.00002481618],"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":[0.001337734,0.0001916604,0.03304688,0.002223044,0.0001609397,0.001476067,0.001190806,0.001732846,0.1616879,0.005243809,0.03748015,0.7542281],"study_design_scores_gemma":[0.0001348517,0.0006726875,0.5139588,0.0006953446,0.0002034804,0.005130317,0.001497766,0.001480603,0.01297285,0.002955873,0.4602211,0.00007617914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4979571,0.01761774,0.007460947,0.0006834817,0.0005388861,0.0001947867,0.02215386,0.001661617,0.4517316],"genre_scores_gemma":[0.9221948,0.003574828,0.003874914,0.0005530858,0.00009278467,0.00009546558,0.01573552,0.0001527689,0.05372586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02409218,"threshold_uncertainty_score":0.08059633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257560897355641,"score_gpt":0.2342661755120462,"score_spread":0.2085100857764821,"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."}}