{"id":"W6930010928","doi":"10.5281/zenodo.11247289","title":"Penicillaria maculata subsp. maculata Butler 1889","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemical Studies and Bioactivities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tamil; Tropics; Taxonomy (biology); Indian ocean; Altitude (triangle)","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":[0.00004518317,0.0003911786,0.0001828482,0.0008348321,0.0005251997,0.0002805716,0.0003525378,0.000245489,0.01521741],"category_scores_gemma":[0.0001885467,0.0001317401,0.0001082903,0.000452749,0.0001745602,0.0004723751,0.0005261191,0.0002302765,0.004874835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002970115,"about_ca_system_score_gemma":0.0001497647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004305298,"about_ca_topic_score_gemma":0.009466865,"domain_scores_codex":[0.9999225,0.000007669285,0.000006342508,0.00002366441,0.0000244465,0.0000153983],"domain_scores_gemma":[0.9999117,0.00002404979,0.0000287488,0.000007345111,0.00001411937,0.00001412887],"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":[0.000329741,0.0002235001,0.04844954,0.0007645341,0.00006476464,0.004717728,0.002254232,0.0005307961,0.1057527,0.003990091,0.01818267,0.8147398],"study_design_scores_gemma":[0.00005403065,0.0003056554,0.4237671,0.0002427122,0.00007771307,0.009873812,0.001280644,0.000399786,0.01943071,0.001162183,0.5433828,0.00002292661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.408981,0.02330735,0.004784092,0.001173528,0.0006231224,0.0004095771,0.006859604,0.0006845665,0.5531772],"genre_scores_gemma":[0.9279884,0.003733373,0.002250401,0.0003060602,0.0001034431,0.00007280181,0.002263459,0.00002515601,0.06325708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01521741,"threshold_uncertainty_score":0.05090737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524476132326004,"score_gpt":0.2500189369527977,"score_spread":0.2247741756295377,"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."}}