{"id":"W4393533292","doi":"10.5281/zenodo.10231546","title":"St Johns Shell Punctated Sherd","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shell (structure); History; Geology; Engineering; Civil engineering","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":[0.0003436841,0.001364031,0.0007759727,0.002426579,0.0007961679,0.002073895,0.001483556,0.0007094144,0.1139959],"category_scores_gemma":[0.002249697,0.0005319308,0.0004007503,0.004820565,0.0003410111,0.001109151,0.001453943,0.001148039,0.1685276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111569,"about_ca_system_score_gemma":0.002157209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08263242,"about_ca_topic_score_gemma":0.1943944,"domain_scores_codex":[0.9996104,0.00002966073,0.00002584047,0.0001556823,0.0001072731,0.00007124406],"domain_scores_gemma":[0.9991937,0.00009995348,0.00008456133,0.0002121689,0.0003036627,0.0001059186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002187353,0.000003748863,0.0005952407,0.0001129314,0.000004211336,0.00001361351,0.00001717667,0.00006376026,0.00004259761,0.0002847132,0.9968587,0.001981323],"study_design_scores_gemma":[0.00002068711,0.000003342113,0.00337033,0.0001090299,0.000004348189,0.00002780659,0.00008896173,0.00007805061,0.0001607709,0.0003869445,0.995742,0.000007755581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002114511,0.00006182223,0.00007145419,0.00003301531,0.00002605385,0.000004811881,0.9960829,0.0002855683,0.003222913],"genre_scores_gemma":[0.0007141053,0.00007914917,0.0002279993,0.00002275111,0.00000683167,0.0000232597,0.9943783,0.0001339652,0.004413711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1139959,"threshold_uncertainty_score":0.3813542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682860113484002,"score_gpt":0.2204908959135455,"score_spread":0.1836622947787055,"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."}}