{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002110285,0.0001518327,0.0001839643,0.002490832,0.0006899419,0.0002899371,0.0002798898,0.0001459693,0.001296986],"category_scores_gemma":[0.0002294479,0.0001499994,0.0001690809,0.002031915,0.0003424581,0.0002011276,0.0003720274,0.0001197007,0.00008210648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007190491,"about_ca_system_score_gemma":0.0007066955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.078408,"about_ca_topic_score_gemma":0.1862618,"domain_scores_codex":[0.9998776,0.00001027937,0.00001046474,0.00004711075,0.00002593236,0.00002853637],"domain_scores_gemma":[0.9997384,0.00005923428,0.00005693491,0.00002713749,0.00005745669,0.00006084294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001439443,0.0000229425,0.9056923,0.0001284706,0.0000716111,0.001098718,0.004786336,0.0002560025,0.04733191,0.0009141,0.0005068053,0.03904689],"study_design_scores_gemma":[0.000002862404,0.00001591407,0.9970334,0.000003276012,0.00001149676,0.0001856337,0.0002015771,0.00009725697,0.0002839715,0.00003108688,0.00212939,0.000004200385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972787,0.0006521802,0.0002819298,0.00002568375,0.000003950381,0.0000066807,0.0002728803,0.00002194331,0.001455988],"genre_scores_gemma":[0.9989568,0.0001309035,0.0002903576,0.000007103067,0.000003350944,0.000003620513,0.0002986771,0.000001806637,0.0003074398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.078408,"threshold_uncertainty_score":0.1559032,"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."}}