{"id":"W2375682311","doi":"","title":"STUDIES ON DISTRIBUTION OF CHARACEAE IN CHINA","year":2007,"lang":"en","type":"article","venue":"Acta Hydrobiologica Sinica","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Distribution (mathematics); China; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004439538,0.0003729424,0.0002843951,0.005654933,0.001118442,0.000435352,0.0003984018,0.0001720699,0.001668089],"category_scores_gemma":[0.0003481635,0.0002458636,0.0003432681,0.006698017,0.0006583341,0.0005701201,0.000639288,0.0002023259,0.000152137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192709,"about_ca_system_score_gemma":0.001961886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04841405,"about_ca_topic_score_gemma":0.08905263,"domain_scores_codex":[0.999693,0.00003184927,0.00002223599,0.00007567625,0.00008706414,0.00009004708],"domain_scores_gemma":[0.9993968,0.0001074036,0.0001476984,0.00002927617,0.0001342872,0.000184468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002773371,0.00007811612,0.8835971,0.0005338563,0.000100104,0.001150506,0.0100146,0.00060169,0.04029086,0.001431562,0.000476936,0.06144728],"study_design_scores_gemma":[0.000002769395,0.00002942569,0.9958619,0.000009135957,0.00001310734,0.0001693527,0.0008132681,0.0001030335,0.000504688,0.00006750179,0.002419249,0.000006515396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952376,0.001263299,0.0001650054,0.0000513682,0.000007484681,0.00001117491,0.0002367376,0.000008299575,0.003019013],"genre_scores_gemma":[0.996187,0.001094361,0.0002010931,0.00002869959,0.00001561245,0.000008986876,0.0003979043,0.000003522985,0.00206289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04841405,"threshold_uncertainty_score":0.09626448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630230899832323,"score_gpt":0.2839457357851884,"score_spread":0.2476434267868652,"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."}}