{"id":"W2790017937","doi":"10.1016/j.jasrep.2018.01.014","title":"Flexible approaches: Adapting analytical techniques and research designs to suit variable landscapes and cultural structures","year":2018,"lang":"en","type":"article","venue":"Journal of Archaeological Science Reports","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Amec Foster Wheeler (Canada); University of Alberta","funders":"","keywords":"Variable (mathematics); Computer science; Management science; Industrial engineering; Architectural engineering; Engineering; Mathematics","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":[0.005241329,0.0001040846,0.0002226488,0.0001266778,0.0004820264,0.0001245941,0.0002885952,0.00006884467,0.0002092876],"category_scores_gemma":[0.0004153544,0.00005543647,0.00002553977,0.0007030008,0.0008576641,0.0005347472,0.0008065368,0.00022267,0.000003639579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007075834,"about_ca_system_score_gemma":0.00004501762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657977,"about_ca_topic_score_gemma":0.00007373808,"domain_scores_codex":[0.9978519,0.00009256019,0.0003930657,0.0003577718,0.0008336481,0.0004710552],"domain_scores_gemma":[0.9990383,0.0001228928,0.0001723109,0.0001451473,0.0001028474,0.0004185182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000137885,0.00007738188,0.9508423,0.00003288221,0.00001941579,0.000610993,0.003244131,0.0002130413,0.0160105,0.002093205,0.0004243678,0.02629386],"study_design_scores_gemma":[0.0005502367,0.007601119,0.7571102,0.0003831686,0.00007590315,0.03226199,0.004408244,0.01186312,0.05333883,0.09237732,0.03903245,0.0009973637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948751,0.00006944406,0.0003753231,0.0005035191,0.00004870565,0.0001286356,3.809294e-7,0.0000151885,0.003983693],"genre_scores_gemma":[0.9777728,0.00003319836,0.02192866,0.00004977061,0.0001776803,0.000002653569,1.429256e-7,0.000003219649,0.00003186396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1937321,"threshold_uncertainty_score":0.3707406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130888001677944,"score_gpt":0.3466958903557483,"score_spread":0.2336070901879538,"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."}}