{"id":"W2381599503","doi":"","title":"New Distribution of Spermatophyta in Guizhou Province","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Mathematics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.00003459289,0.00004386256,0.00008682064,0.000002101006,0.00002625215,0.000004706164,0.0000708633,0.00002907573,0.00002210479],"category_scores_gemma":[0.000008049664,0.00001446217,0.00003191883,0.000150356,0.00001099889,0.00002932558,0.00001451814,0.00003480956,0.000006694121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001028588,"about_ca_system_score_gemma":0.000005661598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898086,"about_ca_topic_score_gemma":0.0006121321,"domain_scores_codex":[0.9996489,0.000008769765,0.0001002644,0.00008182463,0.00005815084,0.000102116],"domain_scores_gemma":[0.9999005,0.00001060462,0.0000313906,0.00002004129,0.00001300115,0.00002443436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001216329,0.0002743262,0.1552928,0.00001597303,0.00001116121,0.00001248112,0.0001443043,0.000009269814,0.1847227,0.003592695,0.01756034,0.6382423],"study_design_scores_gemma":[0.00007638268,0.0001091218,0.9810914,0.00001124489,0.000001140672,7.915577e-7,0.00004188778,0.00001088621,0.0008630615,0.0005475659,0.01720246,0.00004399727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948771,0.0001730247,0.000005361796,0.002277832,0.0002010015,0.00008020863,0.00001275225,0.0000142233,0.002358523],"genre_scores_gemma":[0.999131,0.00003563032,0.00003767577,0.00005817271,0.0002967591,3.547565e-7,0.00001773836,1.040839e-7,0.0004225181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8257987,"threshold_uncertainty_score":0.05897503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007813283406856202,"score_gpt":0.1988984866484766,"score_spread":0.1910852032416204,"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."}}