{"id":"W2620449819","doi":"","title":"Archaeological resource impact assessment : Jefferson Property, Fall River","year":2017,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Resource (disambiguation); Property (philosophy); Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0006618736,0.0004436113,0.0004456246,0.0005898614,0.005506462,0.0001502676,0.001778879,0.0003615286,0.0008752285],"category_scores_gemma":[0.0002561977,0.000350856,0.0004380049,0.0003747111,0.003576744,0.001263004,0.0008261581,0.001054881,0.0001874745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265205,"about_ca_system_score_gemma":0.0008762545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04572742,"about_ca_topic_score_gemma":0.002452018,"domain_scores_codex":[0.9960921,0.0007923322,0.0002470916,0.000953255,0.001006804,0.0009084319],"domain_scores_gemma":[0.9975136,0.0003034488,0.0003042021,0.0007897149,0.0002557306,0.0008333348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00518289,0.0002855665,0.8459794,0.00009508146,0.000472688,0.01795014,0.0004820628,0.01145191,0.000215547,0.02480052,0.001151824,0.09193238],"study_design_scores_gemma":[0.001129931,0.001062546,0.7185488,0.00006559434,0.00005649598,0.0002004141,0.0002824874,0.002671125,0.00003504279,0.001189359,0.2742676,0.0004905895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7694085,0.00005810891,0.008290718,0.001996731,0.0004005847,0.0008287625,0.0001450918,0.0002269934,0.2186445],"genre_scores_gemma":[0.978674,0.0001603897,0.002826216,0.0000868979,0.000218808,3.270308e-7,0.0002016653,0.000007027156,0.0178247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2731157,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106618195224577,"score_gpt":0.2320225321494484,"score_spread":0.2109563501972027,"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."}}