{"id":"W70012652","doi":"10.1007/bf03374348","title":"Detecting economic variability in the Red River Settlement","year":2002,"lang":"en","type":"article","venue":"Historical Archaeology","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Alberta Environment and Protected Areas","funders":"","keywords":"Settlement (finance); Artifact (error); Archaeology; Ranking (information retrieval); Consistency (knowledge bases); Position (finance); Geography; History; Computer science; Economics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00142858,0.000121187,0.0002475988,0.00005685904,0.000633686,0.000002871411,0.0004404577,0.0001192753,0.0008826994],"category_scores_gemma":[0.0006555092,0.00008454906,0.00009037492,0.000208031,0.00140046,0.00006301924,0.0001629166,0.0003333633,0.0002130719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206544,"about_ca_system_score_gemma":0.00002159033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006150198,"about_ca_topic_score_gemma":0.01581847,"domain_scores_codex":[0.9973648,0.001303643,0.0003029431,0.000340694,0.0001834499,0.0005044788],"domain_scores_gemma":[0.9987155,0.0009078523,0.00007173885,0.0001934075,0.00002777502,0.00008376834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004451857,0.0003226414,0.101524,0.00001364509,0.00004001019,0.00009627273,0.6219411,0.00002199187,0.00003669583,0.174363,0.04870357,0.05289259],"study_design_scores_gemma":[0.0001775876,0.00007682467,0.005871138,0.000001548325,0.000008962347,0.000004856252,0.0009013888,0.00006394444,0.000001613278,0.0345456,0.9582186,0.0001279165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3689851,0.002561096,0.001139985,0.3913142,0.005672378,0.001307031,0.00001259063,0.0003347991,0.2286729],"genre_scores_gemma":[0.9939574,0.0002135061,0.0004851714,0.0006707954,0.0003966844,0.00008001635,0.000001099828,0.000004770005,0.004190574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.909515,"threshold_uncertainty_score":0.966494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889057656942931,"score_gpt":0.2624401575679759,"score_spread":0.2235495809985466,"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."}}