{"id":"W2331376663","doi":"10.1080/14888386.2006.9712810","title":"BLOSSOMING TREASURES OF BIODIVERSITY","year":2006,"lang":"en","type":"article","venue":"Biodiversity","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biodiversity; Geography; Ecology; 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":[0.0001372006,0.00007438263,0.0001153783,0.00001090667,0.0002218661,0.000013045,0.000162465,0.00006849252,0.0003551482],"category_scores_gemma":[0.000009998818,0.00003322559,0.00008567245,0.0001234613,0.0001070837,0.00007466715,0.0000997715,0.00003910996,0.00006278101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004568878,"about_ca_system_score_gemma":0.000008999895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606789,"about_ca_topic_score_gemma":0.0006718087,"domain_scores_codex":[0.9994401,0.00003014602,0.0001047435,0.0001702649,0.0001020735,0.0001526971],"domain_scores_gemma":[0.999754,0.00004234691,0.00005964916,0.00003574663,0.00006900477,0.00003930432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003190115,0.0001090114,0.9811286,0.00000728683,0.000008661811,0.000003825326,0.00004386115,7.327071e-7,0.004737542,0.0001065964,0.007456456,0.006365574],"study_design_scores_gemma":[0.000113642,0.00004156468,0.9494296,0.000001648223,0.000009142516,7.310607e-7,0.0003830383,6.958567e-7,0.007679973,0.0001693239,0.04207357,0.00009702268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973812,0.00004417192,0.000001011573,0.001151094,0.00004644948,0.00008222678,0.0001459548,0.0000333945,0.001114566],"genre_scores_gemma":[0.9996433,0.000004798053,0.00008175249,0.00009435724,0.00002367207,3.965903e-7,0.00004706867,4.803987e-8,0.0001045583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03461711,"threshold_uncertainty_score":0.6964117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065369931895249,"score_gpt":0.1544689962982454,"score_spread":0.1438152969792929,"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."}}