{"id":"W7112295034","doi":"","title":"Other Finds — Coins, Metal and Stone Artefacts, Metal Slag, Crucibles, and Coral","year":2025,"lang":"en","type":"article","venue":"","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Coral; Metal; Base metal; Coral reef","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":[0.0006561433,0.0006737839,0.0004495386,0.007804083,0.003644522,0.004679321,0.0007222559,0.0008266431,0.03829709],"category_scores_gemma":[0.002547722,0.0002534189,0.0008665143,0.01118437,0.002390711,0.001713577,0.002396146,0.000606384,0.005386243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009542,"about_ca_system_score_gemma":0.001535277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658845,"about_ca_topic_score_gemma":0.04586324,"domain_scores_codex":[0.9991022,0.00009034368,0.00005493644,0.0001609306,0.000444418,0.0001472096],"domain_scores_gemma":[0.999071,0.0002234355,0.0001287032,0.0002694349,0.0002130038,0.0000943592],"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":[0.0009082145,0.0001826091,0.1104243,0.002924403,0.0003589409,0.006416961,0.03070139,0.001806958,0.0249006,0.08145148,0.04849737,0.6914268],"study_design_scores_gemma":[0.00002454665,0.0001052578,0.1481627,0.001323403,0.0002524777,0.006848805,0.06787364,0.0008116161,0.0145694,0.01199134,0.7479202,0.0001165871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3764839,0.004950079,0.01159862,0.0009619066,0.0006045225,0.0001931661,0.004616417,0.0006590917,0.5999323],"genre_scores_gemma":[0.7664868,0.00218523,0.01797173,0.0002760488,0.0001290901,0.00007053452,0.002447146,0.0007653191,0.209668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03829709,"threshold_uncertainty_score":0.1281165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888464888035317,"score_gpt":0.23917331299994,"score_spread":0.2102886641195869,"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."}}