{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395578,0.0003060464,0.0002959853,0.0007868407,0.003320518,0.007568483,0.0007490288,0.00174811,0.02321462],"category_scores_gemma":[0.01112276,0.0003928182,0.0002367783,0.001237827,0.007488033,0.01014472,0.003057133,0.003476268,0.008683597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981891,"about_ca_system_score_gemma":0.001397814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004210579,"about_ca_topic_score_gemma":0.00760012,"domain_scores_codex":[0.9983947,0.0006333844,0.00003622921,0.0003819817,0.0003281586,0.0002256514],"domain_scores_gemma":[0.9960865,0.001414768,0.0003747035,0.0006329158,0.0008601964,0.0006309081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000288592,0.0000839235,0.02243057,0.0004507061,0.00008289973,0.0006247553,0.03258848,0.001134446,0.001451679,0.4569862,0.3409721,0.1429055],"study_design_scores_gemma":[0.00001469464,0.0000273849,0.004231412,0.0003378151,0.00001503615,0.000375805,0.02339133,0.0006220072,0.0009616653,0.2055684,0.7644013,0.00005308352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1469261,0.01096927,0.02038682,0.2726765,0.003609068,0.00005488794,0.001278318,0.00103292,0.5430661],"genre_scores_gemma":[0.8917871,0.005350844,0.007544748,0.02626964,0.0005042622,0.00005306989,0.00056201,0.0005835192,0.06734487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02321462,"threshold_uncertainty_score":0.07766062,"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."}}