{"id":"W2368658431","doi":"","title":"Survey Cycas guizhouensis Lan et R.F.Zou in Guangxi Jinzhongshan Forest Area","year":2009,"lang":"la","type":"article","venue":"Seed","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001073708,0.000333099,0.0003605985,0.0001169394,0.0001147992,0.0001378435,0.0004488962,0.0001458567,0.0005346438],"category_scores_gemma":[0.000102361,0.0003015221,0.000110985,0.0005714723,0.0001021961,0.0002096169,0.0001947777,0.0002538879,0.001757697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789397,"about_ca_system_score_gemma":0.0000160845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007573991,"about_ca_topic_score_gemma":0.02992547,"domain_scores_codex":[0.9975477,0.000276491,0.0004125187,0.0006061524,0.0004731627,0.0006839017],"domain_scores_gemma":[0.9990452,0.00009390544,0.0001224957,0.0005313978,0.00001066455,0.0001963649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005061724,0.000315743,0.976882,0.00001242188,0.00001846574,0.0001316275,0.0006882023,0.001609926,0.0003484755,0.00007442684,0.01347276,0.006395303],"study_design_scores_gemma":[0.0008758812,0.00016178,0.98216,0.00008733497,0.00001943497,0.000002944785,0.0001922701,0.001746433,0.00003776448,0.0003415223,0.01398838,0.0003862057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961731,0.0001996063,0.00004927791,0.005057343,0.0002702998,0.0004332134,0.0001427651,0.00005925121,0.03205727],"genre_scores_gemma":[0.9915541,0.0002216445,0.0001022122,0.003829368,0.00008198972,0.000007084262,0.0001652265,0.00002359583,0.004014729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02982318,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388611271660504,"score_gpt":0.2482239236087533,"score_spread":0.2243378108921483,"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."}}