{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2037357,0.002271641,0.001788485,0.006029003,0.003686375,0.008330408,0.007855804,0.003043503,0.005577745],"category_scores_gemma":[0.3189873,0.002711568,0.003211016,0.006787781,0.00603763,0.008150889,0.01532771,0.00335633,0.001431006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003812976,"about_ca_system_score_gemma":0.009486971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961348,"about_ca_topic_score_gemma":0.005909711,"domain_scores_codex":[0.771196,0.194074,0.01138731,0.01079393,0.01103226,0.001516546],"domain_scores_gemma":[0.5785127,0.2746802,0.0147355,0.110081,0.01925327,0.002737337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001592105,0.001506441,0.03178753,0.007511386,0.003535331,0.0005911181,0.04341511,0.01576646,0.009869276,0.1146348,0.009201028,0.7605893],"study_design_scores_gemma":[0.001988059,0.001374891,0.02634335,0.004561537,0.002610165,0.0008680625,0.01808201,0.0498118,0.01299102,0.7914628,0.08926997,0.0006363522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01414725,0.0005614933,0.9734884,0.0009126161,0.0002218726,0.005940976,0.0003598123,0.0005583979,0.003809073],"genre_scores_gemma":[0.04087498,0.0002033027,0.9448425,0.0003704453,0.00005030563,0.01280627,0.0001257446,0.0001955842,0.0005309578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2037357,"threshold_uncertainty_score":0.9819356,"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."}}