{"id":"W2063586024","doi":"10.1111/1467-9655.12157_15","title":"Jones, Andrew Meirion. Prehistoric materialities: becoming material in prehistoric Britain and Ireland. xii, 230 pp., maps, figs, illus., plates, bibliogr. Oxford: Univ. Press, 2012. £60.00 (cloth)","year":2015,"lang":"en","type":"article","venue":"Journal of the Royal Anthropological Institute","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Prehistory; Citation; History; Art history; Classics; Archaeology; Library science; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006233806,0.0002621368,0.0004946582,0.0001642522,0.0004881356,0.0000528033,0.0004498591,0.0002003149,0.001043365],"category_scores_gemma":[0.00008938257,0.0001556272,0.000102525,0.0002747695,0.001815683,0.0005244408,0.0002219806,0.0003618761,0.00001445064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009359798,"about_ca_system_score_gemma":0.00006889728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006556881,"about_ca_topic_score_gemma":0.001898399,"domain_scores_codex":[0.9980849,0.0002442989,0.0006030733,0.000274979,0.0003540127,0.0004387549],"domain_scores_gemma":[0.9991391,0.00008076744,0.0003757961,0.0001564116,0.00003263376,0.0002153277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002892466,0.0005559487,0.7559987,0.0002096413,0.0002927988,0.001180249,0.003324503,0.01489106,0.00009136958,0.001049288,0.2124061,0.007107857],"study_design_scores_gemma":[0.001750804,0.0009722419,0.1988931,0.0001709612,0.00007143302,0.000367252,0.0008482981,0.0004501365,0.0001045453,0.002972721,0.7929683,0.0004301822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948184,0.04108529,0.00005382752,0.001322424,0.006315662,0.0002564195,0.0001994976,0.00002537508,0.002557531],"genre_scores_gemma":[0.9842373,0.01218417,0.0006397888,0.000183862,0.0005562418,0.000002371594,0.00003505929,0.000008042369,0.002153144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5805622,"threshold_uncertainty_score":0.9998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846012267465917,"score_gpt":0.2352593086974723,"score_spread":0.1967991860228132,"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."}}