{"id":"W2956138775","doi":"","title":"On Explaining Changes in Prehistoric Coastal Economies","year":2017,"lang":"en","type":"article","venue":"SFU Archaeology Press","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Prehistory; Geography; Economy; Economic geography; Economics; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.000928418,0.000447314,0.0002577561,0.001055622,0.0009472377,0.002254583,0.001025962,0.0009811934,0.01469458],"category_scores_gemma":[0.003789124,0.000185643,0.0003911725,0.001846751,0.003101504,0.002682284,0.001141229,0.0009566593,0.0004532931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037835,"about_ca_system_score_gemma":0.001244796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02707971,"about_ca_topic_score_gemma":0.02962347,"domain_scores_codex":[0.9998553,0.00005309916,0.000007296086,0.00002861078,0.00001418905,0.00004153814],"domain_scores_gemma":[0.9983137,0.001159297,0.0001791161,0.0001405924,0.0001357482,0.00007157237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001253499,0.00007530551,0.03382809,0.0002218193,0.00009202879,0.001219286,0.005372735,0.01558232,0.0002983098,0.8928658,0.008540226,0.04177881],"study_design_scores_gemma":[0.00004612793,0.00002804399,0.04405689,0.0002112033,0.00006203014,0.000202314,0.01141342,0.01237312,0.0003759053,0.8848202,0.04638562,0.00002512569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.727576,0.007616412,0.0138303,0.03975976,0.0003034271,0.00007372033,0.0013475,0.0001202675,0.2093726],"genre_scores_gemma":[0.9876443,0.002088696,0.001362026,0.0003159819,0.00007295401,0.00001504686,0.0001669768,0.00002022115,0.008313669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02707971,"threshold_uncertainty_score":0.05384415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03853290567200478,"score_gpt":0.2431428621577242,"score_spread":0.2046099564857194,"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."}}