{"id":"W6949542863","doi":"10.5281/zenodo.15218716","title":"Pallicephala pachyceras","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Riparian zone; East coast; South carolina; Period (music); Vegetation (pathology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00006254733,0.0005209498,0.0002293087,0.001243432,0.0009825662,0.0003137382,0.0004478095,0.0002658427,0.02854751],"category_scores_gemma":[0.0002658681,0.0002491536,0.0001086637,0.0007903689,0.0005669176,0.0006070579,0.0008576767,0.0004841554,0.006682477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004181149,"about_ca_system_score_gemma":0.0003146095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01425395,"about_ca_topic_score_gemma":0.03329079,"domain_scores_codex":[0.9999171,0.000006345209,0.000004460216,0.00003309543,0.00002954385,0.000009445151],"domain_scores_gemma":[0.9999229,0.000009226951,0.00002569084,0.00001240633,0.00001978995,0.000009936007],"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":[0.0008766906,0.0001796182,0.07142578,0.001205095,0.0001253629,0.006256241,0.005474683,0.0008820686,0.1173442,0.007374456,0.03851576,0.75034],"study_design_scores_gemma":[0.00009591514,0.0005305544,0.5803424,0.000516387,0.0001731976,0.02617665,0.003052594,0.0007625906,0.009012883,0.002178587,0.3771033,0.00005496043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5628498,0.004100823,0.002375521,0.0006211931,0.0002114949,0.000294209,0.004432276,0.0007472069,0.4243675],"genre_scores_gemma":[0.9510657,0.002152745,0.0028031,0.0004196034,0.00007485694,0.0001108804,0.002499437,0.00008844638,0.04078521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02854751,"threshold_uncertainty_score":0.09550089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926757775784717,"score_gpt":0.2763391315508117,"score_spread":0.2470715537929646,"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."}}