{"id":"W6967980011","doi":"10.5281/zenodo.15357627","title":"Dolichogenidea mariabustosae","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Parks Canada","funders":"","keywords":"Table (database); Key (lock); Identification (biology); Context (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006787237,0.000684251,0.0002854189,0.001610684,0.001356244,0.0004394836,0.0003779217,0.0003495071,0.04057616],"category_scores_gemma":[0.0002997821,0.0001853098,0.0001940632,0.0008896463,0.0004743517,0.0006733381,0.001217965,0.0005491464,0.006522913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005223117,"about_ca_system_score_gemma":0.0005579197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003974404,"about_ca_topic_score_gemma":0.008747757,"domain_scores_codex":[0.9999285,0.000009923658,0.000006396986,0.00001915749,0.00002175213,0.00001424845],"domain_scores_gemma":[0.9999629,0.00000502248,0.0000108652,0.000004587181,0.000008055731,0.000008455837],"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":[0.0007143988,0.0001114327,0.02003674,0.001654575,0.000110211,0.0008657831,0.002383575,0.0007181928,0.0454721,0.03895159,0.04187075,0.8471106],"study_design_scores_gemma":[0.00009336253,0.0001127708,0.132434,0.0005524214,0.00007056977,0.00349548,0.001398972,0.0005585274,0.001917628,0.004540579,0.8547826,0.0000431607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2868456,0.01027969,0.007450201,0.0007119735,0.0006262437,0.0005165769,0.006050831,0.001283785,0.6862352],"genre_scores_gemma":[0.8601062,0.006493127,0.007666696,0.0005190958,0.0002199346,0.0003553955,0.004357479,0.0001916969,0.1200904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04057616,"threshold_uncertainty_score":0.1357408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129912999162473,"score_gpt":0.2300590353135457,"score_spread":0.208759905321921,"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."}}