{"id":"W6911293911","doi":"10.5281/zenodo.10668001","title":"Acalypha perrieri Leandri","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Thicket; Deciduous; Endemism; Endangered species; Threatened species; Habitat; Vegetation (pathology)","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":[0.0001837234,0.0007408448,0.0003900507,0.002748511,0.001685255,0.0004743835,0.0006108551,0.0005097086,0.01678223],"category_scores_gemma":[0.000455202,0.0002096155,0.0002500844,0.001062286,0.0005018995,0.0007525482,0.0006468124,0.0006471481,0.005443691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009381906,"about_ca_system_score_gemma":0.000381078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476105,"about_ca_topic_score_gemma":0.02787279,"domain_scores_codex":[0.9997289,0.00002977013,0.0000162739,0.00007995137,0.0001066602,0.00003842479],"domain_scores_gemma":[0.9998012,0.00003786065,0.00006196312,0.00001369879,0.00006814111,0.00001709931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002970437,0.0001022006,0.006146041,0.001024521,0.00003785754,0.001816308,0.00191036,0.0004345927,0.01631748,0.007810354,0.06306842,0.9010349],"study_design_scores_gemma":[0.00003851112,0.0001917619,0.08006924,0.0005490282,0.00008240416,0.005208205,0.0008457634,0.0004368931,0.002584556,0.002008051,0.9079393,0.00004635875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1671206,0.07068973,0.006836467,0.002588495,0.001841685,0.0005026589,0.004381191,0.0009073849,0.7451319],"genre_scores_gemma":[0.8685728,0.01391351,0.008698717,0.001657687,0.0009124096,0.0002749378,0.003947334,0.00008408472,0.1019385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01678223,"threshold_uncertainty_score":0.05614215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465161648791502,"score_gpt":0.2560961492603174,"score_spread":0.2014445327724023,"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."}}