{"id":"W4403036382","doi":"10.1007/s10502-024-09457-7","title":"Archival context, provenance, and a tool to capture archival context*","year":2024,"lang":"en","type":"article","venue":"Archival Science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Context (archaeology); Provenance; Cultural heritage; Archival science; History; Archaeology; Geology; Paleontology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02179964,0.0007698247,0.0008944256,0.01258873,0.004811713,0.01657432,0.001452012,0.002021114,0.003744042],"category_scores_gemma":[0.08011705,0.001124131,0.0008810665,0.008985819,0.003638898,0.02506931,0.008656614,0.003566499,0.001057545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00240941,"about_ca_system_score_gemma":0.008012164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007630488,"about_ca_topic_score_gemma":0.01098195,"domain_scores_codex":[0.9881514,0.004809481,0.002112857,0.001380499,0.003123515,0.0004222838],"domain_scores_gemma":[0.9314563,0.02473588,0.007917993,0.02251808,0.01128587,0.002085794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007142716,0.0004549592,0.0335369,0.001347225,0.0001172712,0.0009551644,0.03284651,0.005298398,0.009052108,0.488875,0.01626068,0.4105415],"study_design_scores_gemma":[0.0001476965,0.0003400184,0.020252,0.002668948,0.0004137256,0.0020426,0.02313653,0.07734133,0.02459976,0.4616287,0.3868608,0.0005678738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05666739,0.001386535,0.9073809,0.005415222,0.0005247279,0.00123068,0.0033031,0.006373138,0.0177182],"genre_scores_gemma":[0.2867814,0.0008006042,0.7045819,0.0002604078,0.0001874367,0.000612686,0.002643873,0.0006073443,0.003524344],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9834257,"threshold_uncertainty_score":0.1152889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06333258564817222,"score_gpt":0.3623599735812482,"score_spread":0.299027387933076,"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."}}