{"id":"W6931392167","doi":"10.5281/zenodo.4368159","title":"Boehmeria cylindrica Sw.","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capitata; Oleaceae; Urticaceae; Subspecies; Folk medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007631577,0.0001061228,0.0001198459,0.0001177336,0.00153167,0.0002747111,0.000487424,0.00005651061,0.01920862],"category_scores_gemma":[0.002108634,0.0001110979,0.00004342588,0.0005133435,0.0001394853,0.0001031855,0.000280705,0.0001780901,0.009527946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100627,"about_ca_system_score_gemma":0.000002430118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002409058,"about_ca_topic_score_gemma":1.729687e-7,"domain_scores_codex":[0.9987176,0.00009283413,0.0003097137,0.0002602565,0.0003038614,0.000315753],"domain_scores_gemma":[0.9987382,0.0001317024,0.0001011321,0.000357647,0.0004604367,0.0002109258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003023375,0.0001861419,7.398139e-7,0.00002907235,0.00001665048,0.000006911275,0.0002036177,0.000003144124,0.001881111,0.7266186,0.2148393,0.05618448],"study_design_scores_gemma":[0.0003460249,0.00005277179,0.001297189,0.0000124536,0.00001579763,0.00007562688,0.0001782614,0.0005218911,0.000795604,0.02453028,0.9720146,0.0001594984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004903452,0.000009357579,0.7548172,0.0007160043,0.00005055832,0.0003072663,0.0003025399,0.0009142162,0.2379793],"genre_scores_gemma":[0.9854851,0.000009813801,0.01070072,0.0002117781,0.0001334547,6.278071e-8,0.001676711,0.0007362142,0.001046154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805816,"threshold_uncertainty_score":0.9997682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09482648186620563,"score_gpt":0.3459640705741835,"score_spread":0.2511375887079779,"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."}}