{"id":"W1968812208","doi":"10.1073/pnas.0609763104","title":"Plants and people from the Early Neolithic to Shang periods in North China","year":2007,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Australian Research Council; La Trobe University","keywords":"Panicum miliaceum; Foxtail; Phytolith; Crop; Radiocarbon dating; Geography; Setaria; Weed; Fodder; Agronomy; Panicum; China; Biology; Agriculture; Archaeology; Botany; Pollen","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008453232,0.00005315007,0.00008040205,0.00004670677,0.0002755675,0.000007259142,0.0003725645,0.00002918689,0.000029919],"category_scores_gemma":[0.0001068094,0.00002807965,0.00001669801,0.0003312916,0.000739684,0.0001667548,0.00008295569,0.0001054303,0.000002860856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003121278,"about_ca_system_score_gemma":0.000004630048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006299523,"about_ca_topic_score_gemma":0.0003685149,"domain_scores_codex":[0.999145,0.000004518501,0.0001405317,0.000145717,0.0004238342,0.0001404061],"domain_scores_gemma":[0.9997141,0.0001579848,0.00008564544,0.000004188616,0.00001004629,0.00002808752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001320407,0.000004042855,0.9944065,0.000002392162,0.000002549547,8.368309e-9,0.003606325,0.00005680471,0.00042161,0.0002475776,0.00002474484,0.001214236],"study_design_scores_gemma":[0.00005229918,0.0000303771,0.9925378,0.00001525773,0.000001322031,0.000001529041,0.0007809047,0.000131323,0.0008317768,0.005526116,0.00005459976,0.00003667417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955536,0.0003104846,3.410715e-7,0.002453991,0.00001383799,0.00008965252,0.00003177714,0.00000229419,0.001544009],"genre_scores_gemma":[0.9992458,0.00004173935,0.0002268402,0.0004232626,0.00003361374,5.466225e-7,2.5383e-7,4.964357e-7,0.00002742498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005278538,"threshold_uncertainty_score":0.2725397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955858096002346,"score_gpt":0.2377036100589096,"score_spread":0.2181450290988861,"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."}}