{"id":"W7132640918","doi":"","title":"Mønter i 1600-tallets skattefund","year":2025,"lang":"da","type":"article","venue":"Ministry of Culture Research Portal","topic":"Historical and Archaeological Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Action (physics); Product (mathematics); Licensee","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006143744,0.0003088023,0.0005875075,0.0001487122,0.00108505,0.000123406,0.0006044463,0.0002656024,0.01605188],"category_scores_gemma":[0.0003754164,0.0002186238,0.0003446866,0.0002517128,0.004152498,0.00009771773,0.0006858449,0.001042946,0.0002709667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005593142,"about_ca_system_score_gemma":0.000176883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280549,"about_ca_topic_score_gemma":0.0004600285,"domain_scores_codex":[0.996762,0.0002446049,0.0006439236,0.0005449214,0.0009518766,0.000852712],"domain_scores_gemma":[0.9984052,0.0003043035,0.0001205205,0.000360704,0.0006059867,0.0002032874],"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":[0.0001658842,0.0007458683,0.0007619135,0.000739429,0.0004143813,0.0003561311,0.01868456,3.839275e-7,0.0005070242,0.2165252,0.75834,0.002759234],"study_design_scores_gemma":[0.0004096351,0.0005380271,0.0005639276,0.0003134461,0.00004180614,0.000004977481,0.01569708,0.000002961582,0.0003877394,0.004615555,0.9772004,0.0002244739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0482148,0.01146839,0.00001007537,0.006467387,0.0009013079,0.0003429988,0.0002889574,0.00003799263,0.9322681],"genre_scores_gemma":[0.6136899,0.000486882,0.00003105371,0.0001387434,0.0006544014,0.00002982364,0.00003505122,0.000008998509,0.3849251],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5654751,"threshold_uncertainty_score":0.9985576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09268139985755407,"score_gpt":0.3760030212565754,"score_spread":0.2833216213990213,"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."}}