{"id":"W7106805006","doi":"10.5281/zenodo.17726919","title":"Acalypha andringitrensis Leandri","year":2023,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Massif; Habitat; Firewood; Mountain range (options); Riparian zone; Endemism; Protected area","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":[0.00007367265,0.0006649608,0.0002691048,0.001995374,0.001262309,0.0003875306,0.0005776286,0.0003249977,0.0230619],"category_scores_gemma":[0.0001824593,0.0001549837,0.0002250894,0.0008778655,0.0004087918,0.0003843109,0.0005410343,0.0006201306,0.005934404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930395,"about_ca_system_score_gemma":0.0002856429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161862,"about_ca_topic_score_gemma":0.02880901,"domain_scores_codex":[0.9998817,0.00001135833,0.000009131202,0.00003640612,0.00004081551,0.00002048903],"domain_scores_gemma":[0.9999179,0.00001047041,0.0000280262,0.000005747004,0.0000307526,0.000007201487],"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":[0.0002569157,0.0001153219,0.01508026,0.001511935,0.00005039925,0.001631982,0.00193522,0.0006614062,0.01435916,0.005217089,0.03642623,0.9227541],"study_design_scores_gemma":[0.0000532726,0.0002381205,0.1871916,0.000637977,0.0001397375,0.005956735,0.001464942,0.0006761345,0.002280749,0.001706003,0.7996122,0.0000425583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2155266,0.02605638,0.004550023,0.001688404,0.001264354,0.000940432,0.01097183,0.0007698154,0.7382322],"genre_scores_gemma":[0.9114695,0.006403045,0.008817652,0.0008926179,0.0005128005,0.0003512266,0.00858101,0.00006385281,0.06290819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0230619,"threshold_uncertainty_score":0.07714975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05035582087232009,"score_gpt":0.2662813748807804,"score_spread":0.2159255540084603,"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."}}