{"id":"W4385305307","doi":"10.1007/s11676-023-01642-1","title":"Quantifying α-diversity as a continuous function of location—a case study of a temperate forest","year":2023,"lang":"en","type":"article","venue":"Journal of Forestry Research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Diversity index; Quadrat; Statistics; Mathematics; Alpha diversity; Diversity (politics); Gamma diversity; Ecology; Species diversity; Geography; Species richness; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002132111,0.00005667076,0.0001857866,0.0002164788,0.0003934582,0.000008842776,0.0002284724,0.00005098196,0.00008116625],"category_scores_gemma":[0.0005666241,0.00004756498,0.00004659074,0.0008216104,0.0002592316,0.0001815132,0.0005163602,0.0002854579,0.00004078271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006501169,"about_ca_system_score_gemma":0.00004686083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009421288,"about_ca_topic_score_gemma":0.003815546,"domain_scores_codex":[0.9985738,0.0002075462,0.0003576276,0.0001043674,0.0005791303,0.0001775431],"domain_scores_gemma":[0.9989249,0.000307138,0.0002512824,0.0001510881,0.0003092445,0.00005632058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002209508,0.0002892623,0.9841188,0.00003088043,0.00007639641,0.0005173685,0.003069368,0.0103613,0.0004978987,0.00008185727,0.0004853462,0.000250604],"study_design_scores_gemma":[0.0007911721,0.001858891,0.9602823,0.00002605518,0.00002824199,0.0002578366,0.03354717,0.001910987,0.00006707522,0.001175466,0.00001157824,0.0000431912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999229,0.00002504784,0.00003839127,0.0001081766,0.00008897534,0.0001823454,0.000001304254,0.000004678136,0.0003221189],"genre_scores_gemma":[0.999638,0.00002977421,0.00004162413,0.000004556285,0.00001860101,0.000003333683,5.395053e-7,0.000004229035,0.0002593934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03047781,"threshold_uncertainty_score":0.3026202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261609827333483,"score_gpt":0.3862646387147551,"score_spread":0.2601036559814068,"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."}}