{"id":"W6948628436","doi":"10.5281/zenodo.10571326","title":"Microsphecodes peckorum Graham & Packer 2024","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Pedicel; Holotype; Scutellum; Scape; Paratype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00004844288,0.0003203566,0.0001547265,0.0005717525,0.0006212214,0.0002195191,0.000299465,0.0004864909,0.03157285],"category_scores_gemma":[0.0001349878,0.0001354131,0.0001194306,0.0005471709,0.00024242,0.0005963276,0.0005212973,0.0003516897,0.008750536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509161,"about_ca_system_score_gemma":0.0002431454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004380024,"about_ca_topic_score_gemma":0.006680565,"domain_scores_codex":[0.9999415,0.000004954939,0.00000354271,0.00002347045,0.00001537724,0.00001112911],"domain_scores_gemma":[0.9999369,0.00001548398,0.00001749759,0.00000866347,0.00001200846,0.000009369178],"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":[0.0002573611,0.00009971042,0.0156429,0.0006699462,0.00002810201,0.004688201,0.001030295,0.0004969827,0.06803577,0.006662617,0.04534167,0.8570465],"study_design_scores_gemma":[0.00007830561,0.0006664983,0.3442435,0.0003399449,0.00005158261,0.01854906,0.0009183513,0.0007544317,0.008767057,0.00159724,0.6240057,0.00002836195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3934712,0.007054515,0.004750867,0.001040033,0.0005186312,0.0002839164,0.003959155,0.0006070663,0.5883146],"genre_scores_gemma":[0.8503317,0.004335588,0.007572954,0.0007883065,0.0003294575,0.0001465523,0.003600738,0.0000517107,0.1328429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03157285,"threshold_uncertainty_score":0.1056217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378000638999567,"score_gpt":0.2480503025073201,"score_spread":0.2142702961173244,"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."}}