{"id":"W3198416066","doi":"10.1017/aap.2021.17","title":"When Computers Dream of Charcoal","year":2021,"lang":"en","type":"article","venue":"Advances in Archaeological Practice","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; Ministry of Education, India","keywords":"Charcoal; Computer science; Reuse; Archaeology; Data science; Database; History; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008267055,0.0001166296,0.0002366207,0.00007169395,0.00007868919,0.000007759882,0.0002817767,0.00008897096,0.002685117],"category_scores_gemma":[0.004991293,0.00008759069,0.00005997749,0.0003398081,0.0007281339,0.0007831343,0.0001320288,0.0004990699,0.00009127615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006952109,"about_ca_system_score_gemma":0.00006146565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004835942,"about_ca_topic_score_gemma":0.001470643,"domain_scores_codex":[0.9978031,0.0007220611,0.0003051916,0.0003622829,0.0004003102,0.0004070667],"domain_scores_gemma":[0.9958326,0.003592881,0.000120834,0.0001884317,0.0001190704,0.0001462103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007436925,0.00008382824,0.1459922,0.00004735158,0.00001524346,0.0006944874,0.0005658556,0.004034921,0.00009279579,0.006719441,0.00003923042,0.8409709],"study_design_scores_gemma":[0.0009482996,0.00160284,0.2847377,0.00007066724,0.00001167085,0.0003540299,0.0009487253,0.004633028,0.001439535,0.467822,0.2370653,0.0003661768],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4144384,0.0689736,0.2131562,0.03907766,0.001769169,0.001530114,0.0001342681,0.0002908083,0.2606298],"genre_scores_gemma":[0.906602,0.006307303,0.08617747,0.00072318,0.00006463923,0.000003429659,0.00003486697,0.000001914548,0.00008520719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8406048,"threshold_uncertainty_score":0.9982266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279179487552306,"score_gpt":0.3036608007823781,"score_spread":0.280869005906855,"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."}}