{"id":"W4411166992","doi":"10.51270/47.2.178","title":"Backdirt and Bureaucracy Revisited: An Analysis of Research Trends in New Brunswick’s Archaeology Practice Using Historic Data","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Archaeology","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bureaucracy; Archaeology; History; Political science; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004958468,0.0001425253,0.000735565,0.004860922,0.0004141375,0.000007845603,0.00104503,0.000210679,0.0002303804],"category_scores_gemma":[0.004041621,0.0001299206,0.00009381905,0.006408383,0.004831141,0.0005130678,0.0003582017,0.0007036739,0.000005086613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467221,"about_ca_system_score_gemma":0.003857536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6427309,"about_ca_topic_score_gemma":0.9491115,"domain_scores_codex":[0.995822,0.00184982,0.0006595811,0.0004017645,0.0004138041,0.0008530076],"domain_scores_gemma":[0.9965406,0.001151589,0.0003382734,0.0004064855,0.000614311,0.0009487077],"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":[0.0001844773,0.00004972218,0.5582741,0.0000230387,0.0008852265,0.001913754,0.3310184,0.0002657269,0.00005541318,0.06360645,0.005575396,0.03814829],"study_design_scores_gemma":[0.0006020684,0.000570936,0.2731614,0.00004723719,0.0006574887,0.0001937925,0.0275069,0.0006898168,0.000001815196,0.009684363,0.6865917,0.0002924749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939966,0.009416902,0.00008951487,0.04796961,0.0006422405,0.00013808,0.00003010077,0.00001721447,0.001730316],"genre_scores_gemma":[0.9921286,0.002213818,0.002324671,0.0002291633,0.0004303842,7.324269e-7,0.00004211561,0.00001267903,0.002617908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6810164,"threshold_uncertainty_score":0.9978771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1929863337104188,"score_gpt":0.4429329965754535,"score_spread":0.2499466628650346,"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."}}