{"id":"W6930045849","doi":"10.5281/zenodo.10984626","title":"Philobrya blakeana","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beagle; Radiocarbon dating; Quaternary; Sea level","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":[0.000069683,0.0003695727,0.0001984378,0.0007930842,0.001359566,0.0003150961,0.0002830995,0.0003658475,0.0176217],"category_scores_gemma":[0.00017123,0.0001665486,0.0001214799,0.0003377461,0.0003512569,0.0005095588,0.0007064349,0.0004421538,0.004361372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598713,"about_ca_system_score_gemma":0.0003772099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005721663,"about_ca_topic_score_gemma":0.02658404,"domain_scores_codex":[0.9999275,0.000005483674,0.000003131185,0.00003060327,0.00002232367,0.00001100412],"domain_scores_gemma":[0.9999436,0.00001007373,0.00001499522,0.000007393656,0.00001344903,0.00001043858],"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":[0.0006659393,0.0001574707,0.05644627,0.001871428,0.00008052846,0.004735862,0.003426877,0.000936994,0.1145785,0.00689027,0.04664267,0.763567],"study_design_scores_gemma":[0.00006980682,0.0002175738,0.4593361,0.0006902918,0.000065487,0.01018194,0.00222378,0.0004313544,0.004787282,0.001880433,0.520079,0.00003708572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4201563,0.009005247,0.003722486,0.001083613,0.0003158451,0.0002305129,0.002335393,0.0006068183,0.5625436],"genre_scores_gemma":[0.9361107,0.0016855,0.003571328,0.0006873694,0.00008062977,0.00008585237,0.001573836,0.0000502247,0.05615455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0176217,"threshold_uncertainty_score":0.05895042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911819347410113,"score_gpt":0.2396320396996438,"score_spread":0.2205138462255427,"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."}}