{"id":"W4404080070","doi":"10.1080/00087041.2024.2421073","title":"Correction","year":2024,"lang":"en","type":"article","venue":"The Cartographic Journal","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008736265,0.00004768935,0.00004114446,0.0001078763,0.000392707,0.0001393008,0.0001299382,0.00002866339,0.003143702],"category_scores_gemma":[0.00008625336,0.00002251159,0.00008542654,0.0004063557,0.0001406946,0.0001264816,0.000005603464,0.0005981263,0.0002684967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002131356,"about_ca_system_score_gemma":0.00003786327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253716,"about_ca_topic_score_gemma":0.000379838,"domain_scores_codex":[0.9992712,0.0001455742,0.00008350646,0.00007520973,0.0002275679,0.0001969919],"domain_scores_gemma":[0.9995735,0.0002313958,0.00001313963,0.00005754821,0.00002497009,0.00009943747],"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":[0.00003191625,9.432863e-7,0.01061704,0.000003701428,0.00002300964,0.00005569431,0.0002024925,0.0003140466,0.00003379568,0.0002269906,0.01126166,0.9772287],"study_design_scores_gemma":[0.0001243271,0.0007129027,0.3882433,0.00008253574,0.00001975554,0.003932045,0.0003817475,0.03625604,0.0001106301,0.2248753,0.3450902,0.0001712038],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664377,0.04367406,0.05094549,0.01825884,0.02120265,0.0004907439,0.00001862277,0.0004543788,0.0985175],"genre_scores_gemma":[0.9975441,0.001116825,0.00006427841,0.0001001253,0.0005554079,4.940428e-7,0.000002221844,0.000001263964,0.0006153489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9770575,"threshold_uncertainty_score":0.9977676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813075400472558,"score_gpt":0.245618941530157,"score_spread":0.2274881875254314,"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."}}