{"id":"W1513993940","doi":"","title":"Basketmaker III turkey use: multiple lines of evidence.","year":2011,"lang":"en","type":"article","venue":"","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Canyon; Anthropology; State (computer science); Foundation (evidence); Ethnology; History; Humanities; Library science; Geography; Sociology; Art; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388439,0.0003477512,0.000503225,0.00158838,0.000826164,0.001200799,0.00130677,0.0005242485,0.007655634],"category_scores_gemma":[0.005776682,0.0004073325,0.0003239321,0.002370009,0.000676901,0.00112566,0.001435572,0.0005662604,0.001382948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000735515,"about_ca_system_score_gemma":0.0008622733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08800025,"about_ca_topic_score_gemma":0.2474263,"domain_scores_codex":[0.9989846,0.000206542,0.0001202691,0.0002363136,0.0002802143,0.0001720278],"domain_scores_gemma":[0.9963328,0.0007843926,0.00141444,0.0003543183,0.000887335,0.0002266426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005557335,0.00006371479,0.971055,0.0001765188,0.0002648863,0.000286996,0.002887995,0.00005645927,0.0007202725,0.0004202845,0.003800264,0.01971203],"study_design_scores_gemma":[0.00001282096,0.00004182353,0.9910812,0.000104133,0.00008663286,0.0001549181,0.005420423,0.0001138103,0.0003385544,0.00004823325,0.002589204,0.00000840391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987706,0.0008285076,0.0002221351,0.0002090218,0.00004041212,0.00001895623,0.002107422,0.00001208932,0.008855503],"genre_scores_gemma":[0.9943387,0.0005437606,0.0003435826,0.00007549062,0.000009526764,0.00002407853,0.00149754,0.00001943547,0.00314806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08800025,"threshold_uncertainty_score":0.1749761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1974621153640211,"score_gpt":0.2355156748920286,"score_spread":0.03805355952800751,"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."}}