{"id":"W7106786204","doi":"10.5281/zenodo.17726987","title":"Acalypha pervilleana 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":"Euphorbiaceae; Checklist; Thymelaeaceae; Genus","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":[0.0001216863,0.0007116524,0.0003183259,0.002050469,0.001581029,0.0005141204,0.0005033883,0.0004494106,0.04047494],"category_scores_gemma":[0.0003019419,0.0001850379,0.0001793887,0.0007286259,0.0003471889,0.0009697247,0.0006646605,0.0007626564,0.01177795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156389,"about_ca_system_score_gemma":0.0003709794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03613558,"about_ca_topic_score_gemma":0.09079716,"domain_scores_codex":[0.9998323,0.00001624959,0.000009966328,0.00006422719,0.00005498838,0.00002221072],"domain_scores_gemma":[0.9998652,0.00002877086,0.00004037678,0.000009060303,0.00003810127,0.00001841941],"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":[0.0003545272,0.0001163562,0.008866664,0.00119143,0.00003748235,0.001921101,0.001848917,0.0003439307,0.03066345,0.009177925,0.1061769,0.8393013],"study_design_scores_gemma":[0.00003657684,0.00009345669,0.09637008,0.0002678288,0.00003618897,0.002276882,0.0006427192,0.0001610969,0.002305588,0.001306681,0.8964804,0.00002236207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06753921,0.04423046,0.002932864,0.003898153,0.001905643,0.0004075763,0.0119132,0.001107867,0.866065],"genre_scores_gemma":[0.621758,0.0096204,0.006109485,0.003098198,0.0009142461,0.0003215663,0.01172978,0.0002031707,0.3462451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04047494,"threshold_uncertainty_score":0.1354021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06389814248225392,"score_gpt":0.2596453688216946,"score_spread":0.1957472263394407,"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."}}