{"id":"W1437875310","doi":"","title":"Geographic distribution and prediction of potential suitable regions of Iva xanthifolia","year":2012,"lang":"en","type":"article","venue":"Acta Pratacultural Science","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Ragweed; Distribution (mathematics); Beijing; Physical geography; Latitude; Environmental protection; Forestry; Socioeconomics; Biology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003141948,0.00007505647,0.0001146972,0.00000891337,0.000334165,0.00002485552,0.0001653463,0.00004050755,0.00001684068],"category_scores_gemma":[0.00008420101,0.00002623178,0.00003620973,0.0004906413,0.0004622495,0.0007316487,0.0001181493,0.00005542949,0.000001165955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000894922,"about_ca_system_score_gemma":0.00000509183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003200263,"about_ca_topic_score_gemma":0.00009592112,"domain_scores_codex":[0.9991747,0.00001953481,0.0001471554,0.0001436198,0.000247871,0.0002670809],"domain_scores_gemma":[0.9996459,0.00003659656,0.0001083057,0.00002004576,0.0001036441,0.0000855386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000009459873,0.00003595597,0.09021115,0.000003902649,0.000004083533,1.29888e-7,0.00006446522,1.334558e-7,0.9076672,0.000883219,0.0003899717,0.0007303155],"study_design_scores_gemma":[0.000044664,0.0001085556,0.9792295,0.00001562618,0.00001442251,0.00001228289,0.0003651718,0.00002236218,0.01779792,0.00005318116,0.002277096,0.00005927837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986256,0.0003150294,0.00000216003,0.0003832386,0.00006283364,0.000080325,0.0003428439,0.00001685391,0.000171062],"genre_scores_gemma":[0.9995175,0.000270756,0.00002119997,0.00000818179,0.00008116797,0.000002457419,0.00005397545,1.924368e-7,0.00004458786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8898693,"threshold_uncertainty_score":0.2570161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210769925353747,"score_gpt":0.2153653246114511,"score_spread":0.1832576253579137,"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."}}