{"id":"W6931471032","doi":"10.5281/zenodo.8048696","title":"Andrena (Ptilandrena) nigrihirta","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"POLK; Subgenus; Population; Phoenix","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":[0.0003730203,0.0001230583,0.0001164734,0.0002089196,0.001953208,0.0006181836,0.0009587914,0.00005502076,0.03440225],"category_scores_gemma":[0.0004150763,0.0001280653,0.00006090494,0.0008907322,0.0001393333,0.0001399294,0.0009581772,0.0002907411,0.0239439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007971402,"about_ca_system_score_gemma":0.000005300026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001332617,"about_ca_topic_score_gemma":5.430496e-7,"domain_scores_codex":[0.9984528,0.00006238263,0.0001871229,0.0003962453,0.0003967886,0.0005046558],"domain_scores_gemma":[0.9987817,0.00004187641,0.00005180882,0.0005657697,0.000291678,0.0002671641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003810046,0.00009560597,0.00001319225,0.00009693181,0.00003838219,0.00003169116,0.0003341671,0.00001668259,0.07176009,0.004047704,0.756173,0.1673545],"study_design_scores_gemma":[0.0004052309,0.00003529813,0.0002738489,0.0000228772,0.000005853635,0.00006191999,0.0003723258,0.0004549515,0.005822188,0.0004367404,0.991957,0.0001517336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1618756,0.0000888468,0.0004588596,0.002410114,0.00004633009,0.0003171241,0.0007331113,0.003946963,0.8301231],"genre_scores_gemma":[0.9711403,0.0002875375,0.00007263093,0.00007559747,0.0003356194,3.176165e-7,0.00653446,0.001276617,0.02027687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8098462,"threshold_uncertainty_score":0.9993461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03769458925712045,"score_gpt":0.2607935411495324,"score_spread":0.223098951892412,"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."}}