{"id":"W7106854615","doi":"10.5281/zenodo.17726967","title":"Acalypha leonii Baill.","year":2023,"lang":"","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":"Evergreen; Endangered species; Endemism; Mountain range (options); Habitat; Range (aeronautics)","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":[0.0001050653,0.000831344,0.0003523602,0.002113384,0.001644205,0.0004335606,0.0004560428,0.0004645953,0.02792364],"category_scores_gemma":[0.0002926392,0.0002276497,0.0001624333,0.000915889,0.0004549274,0.0007866177,0.0009144216,0.000658159,0.006874454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063235,"about_ca_system_score_gemma":0.000377481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04105292,"about_ca_topic_score_gemma":0.1015843,"domain_scores_codex":[0.9998755,0.00001455685,0.000007655683,0.00003608463,0.00004288247,0.00002321624],"domain_scores_gemma":[0.9999033,0.00001558547,0.00003432044,0.000005274757,0.00002572498,0.00001568434],"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":[0.000213813,0.00005422594,0.009579206,0.0009932724,0.00002179385,0.002057532,0.001515449,0.0001878313,0.009275537,0.003935929,0.06980114,0.9023643],"study_design_scores_gemma":[0.00003921781,0.0001238298,0.1364432,0.0005866836,0.00004031889,0.002401607,0.0008495906,0.0001628606,0.001158049,0.001351996,0.8568214,0.0000212106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0868253,0.06783731,0.001332377,0.004121682,0.001716172,0.0004642286,0.005125209,0.0005844401,0.8319933],"genre_scores_gemma":[0.7556176,0.02020988,0.003745161,0.002542952,0.0009578535,0.0004010018,0.005459739,0.0001120049,0.2109538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04105292,"threshold_uncertainty_score":0.09341389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06350556336267185,"score_gpt":0.2627462458746029,"score_spread":0.199240682511931,"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."}}