{"id":"W2370737069","doi":"","title":"Prelimiary Study on the Structure and Dynamics of Michelia martinii Population in Tiantai Mountain of Xifeng County,Guizhou Province","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Traditional medicine; Geography; Demography; Medicine; Sociology","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":[0.0001638584,0.0001137964,0.0001608633,0.00111522,0.0007083238,0.0002211,0.0003560063,0.0001922774,0.000691612],"category_scores_gemma":[0.0001835539,0.0001146658,0.0001541688,0.0007534993,0.0002944755,0.0001233839,0.000268731,0.0001265443,0.00005411822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000752556,"about_ca_system_score_gemma":0.0006924371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08211962,"about_ca_topic_score_gemma":0.1809151,"domain_scores_codex":[0.9998963,0.00001722445,0.000005458391,0.00003440166,0.00001304269,0.00003365786],"domain_scores_gemma":[0.9998628,0.00002385237,0.00003062886,0.000009901453,0.00002590592,0.00004698321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006118483,0.000046741,0.9842743,0.00002195228,0.00004152223,0.0003019048,0.00285781,0.0001514232,0.00800996,0.0001372815,0.0001473865,0.003948505],"study_design_scores_gemma":[0.000001706564,0.00001649193,0.9989997,0.000001019093,0.000005266363,0.00003514512,0.0005644743,0.0001394674,0.00005027618,0.000007801788,0.0001767886,0.000001903489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997327,0.00002473903,0.00003913034,0.00001105445,5.231885e-7,0.000002418964,0.00004934599,0.00000249451,0.0001377085],"genre_scores_gemma":[0.9997123,0.00001072667,0.00004677814,0.000003996427,9.850448e-7,0.000002778779,0.00008644587,3.815336e-7,0.0001356227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08211962,"threshold_uncertainty_score":0.1632832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008732714876046346,"score_gpt":0.201600433204903,"score_spread":0.1928677183288567,"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."}}