{"id":"W2804909372","doi":"10.1017/s0940739109090080","title":"Decoding Implications of the Genographic Project for Archaeology and Cultural Heritage","year":2009,"lang":"en","type":"article","venue":"International Journal of Cultural Property","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cultural heritage; Archaeology; Order (exchange); Decoding methods; History; Anthropology; Geography; Sociology; Computer science; Algorithm; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0001118558,0.00005751921,0.00009432502,0.00002854845,0.0001097477,0.000008198029,0.0002514813,0.00002313785,0.00002737159],"category_scores_gemma":[0.00005149441,0.00002239929,0.00008130237,0.0000426017,0.0003323205,0.0001851851,0.000023953,0.00007943671,5.847576e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004375542,"about_ca_system_score_gemma":0.00001164016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004008255,"about_ca_topic_score_gemma":0.0001183443,"domain_scores_codex":[0.9995063,0.00002796376,0.0001949878,0.00006705875,0.000115734,0.00008794766],"domain_scores_gemma":[0.9996387,0.00003524208,0.0001646523,0.00003218389,0.0001074464,0.00002172167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001953047,0.00003530397,0.9066128,0.000007012283,0.0001339863,0.000003030117,0.004079518,0.0001935226,0.004103053,0.0006835486,0.0008647662,0.08308817],"study_design_scores_gemma":[0.0003053403,0.0002331134,0.9874974,0.00002206942,0.0000152988,0.0002386351,0.000734608,0.0001613195,0.0004193255,0.003196147,0.007122382,0.00005434628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909586,0.0008239551,0.00009168819,0.007230517,0.000202498,0.00012561,0.0000246673,0.000002530123,0.0005399823],"genre_scores_gemma":[0.9976753,0.0004470945,0.001273534,0.0003426914,0.00008680075,5.969505e-7,0.000005474819,6.486743e-7,0.0001678568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08303383,"threshold_uncertainty_score":0.1224449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034194978627215,"score_gpt":0.2744728464079595,"score_spread":0.2402778677807445,"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."}}