{"id":"W6968677361","doi":"10.5281/zenodo.14052551","title":"Pseudocodon graminifolius Hong","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Codonopsis; Quarter (Canadian coin); Sampling interval; Context (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007485922,0.0004661439,0.0002176224,0.0009674909,0.0008947487,0.0001913032,0.0003508892,0.000314047,0.01680295],"category_scores_gemma":[0.0001470328,0.0000925378,0.0001783177,0.0006431291,0.0002423146,0.0004735987,0.0004822766,0.0002974853,0.003160784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004570638,"about_ca_system_score_gemma":0.0002551137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00866519,"about_ca_topic_score_gemma":0.0201121,"domain_scores_codex":[0.9999356,0.000008154011,0.000005852115,0.00001781273,0.00001558911,0.00001699792],"domain_scores_gemma":[0.9999155,0.000009434466,0.00002149052,0.000007060767,0.00002651013,0.00002007248],"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":[0.001789613,0.000214007,0.06950451,0.002759368,0.00007995965,0.005775735,0.002158839,0.0007817908,0.1117793,0.003887952,0.03241798,0.7688509],"study_design_scores_gemma":[0.0001715085,0.0006704417,0.4795329,0.0004817783,0.0001185861,0.006581153,0.003788234,0.0008627894,0.01340737,0.001450537,0.4928605,0.00007419371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942863,0.006308509,0.00446089,0.001075699,0.002139443,0.0005575626,0.008948644,0.0008975031,0.2813255],"genre_scores_gemma":[0.9674625,0.0007693362,0.002607842,0.0004567557,0.0001007094,0.0001028106,0.004245707,0.00003705245,0.0242173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680295,"threshold_uncertainty_score":0.05621153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06385650007960016,"score_gpt":0.2291184258784705,"score_spread":0.1652619257988704,"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."}}