{"id":"W6943025851","doi":"10.15468/4bcqeg","title":"Tree occurrence in point-centred quarter (PCQ) plots in Kalakad-Mundanthurai Tiger Reserve, Tamil Nadu, India","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transect; Tamil; Rainforest; Tiger; Quarter (Canadian coin); Tree (set theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004252156,0.0006773149,0.0004439705,0.003085603,0.0004030375,0.0005286978,0.001377074,0.0005254738,0.0124579],"category_scores_gemma":[0.00130722,0.0003887177,0.0002497104,0.007473489,0.0002154112,0.000512579,0.0006546432,0.0004785086,0.007491231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156692,"about_ca_system_score_gemma":0.001137769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1083722,"about_ca_topic_score_gemma":0.1861265,"domain_scores_codex":[0.999648,0.00004337246,0.00004268569,0.0001038595,0.00008140529,0.00008074669],"domain_scores_gemma":[0.9989323,0.0001690361,0.0002579374,0.0001804938,0.0003105067,0.0001496697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005943628,0.0002514488,0.1951461,0.002264779,0.0001894115,0.0007520639,0.001536048,0.002224909,0.002344179,0.0009949063,0.7617413,0.03196043],"study_design_scores_gemma":[0.0001321562,0.00008117886,0.7978811,0.0002369101,0.00005229658,0.0002737,0.001762266,0.00104478,0.000745164,0.0003006503,0.1974276,0.00006212979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02162017,0.00006379545,0.00009668978,0.0000390624,0.000009083393,0.00003573123,0.9766967,0.0000866667,0.001352018],"genre_scores_gemma":[0.03076793,0.00008530723,0.0008350978,0.00003456866,0.000005396769,0.0002978733,0.9661592,0.0000282572,0.001786284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1083722,"threshold_uncertainty_score":0.2154828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019673387125663,"score_gpt":0.2267921699427741,"score_spread":0.2071187828171111,"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."}}