{"id":"W7103900452","doi":"10.5281/zenodo.17511262","title":"Andrena (Micrandrena) cedricola Wood 2020","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Pollen; Brassicaceae; Altitude (triangle); Beehive","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003014179,0.001075229,0.0004092445,0.001645305,0.00136168,0.0007263463,0.0007667928,0.0005579479,0.01209731],"category_scores_gemma":[0.000232713,0.0002832086,0.0002995932,0.0005789699,0.0003963664,0.001016483,0.0007545775,0.0009633409,0.006680819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009276527,"about_ca_system_score_gemma":0.0003103805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009046325,"about_ca_topic_score_gemma":0.02354159,"domain_scores_codex":[0.9998023,0.0000242637,0.00001804501,0.00007780312,0.00005078593,0.00002687666],"domain_scores_gemma":[0.9998819,0.00001779132,0.00004310287,0.00001121102,0.00003006538,0.00001596415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007449231,0.0005312484,0.03241848,0.001594324,0.0001045132,0.00500874,0.003181378,0.001431674,0.1202024,0.01765872,0.01964557,0.7974779],"study_design_scores_gemma":[0.0001088869,0.000359071,0.2165234,0.0005376345,0.0001485582,0.007575979,0.001410217,0.0005318175,0.007844212,0.00227346,0.7626218,0.00006490458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3509381,0.03835626,0.006871083,0.001091443,0.0004179236,0.0008693844,0.005187422,0.001237049,0.5950314],"genre_scores_gemma":[0.85641,0.009566201,0.01115556,0.001424729,0.0002454836,0.0003022436,0.004770936,0.00009744058,0.1160274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01209731,"threshold_uncertainty_score":0.04046947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296115214745529,"score_gpt":0.2297358157006839,"score_spread":0.2067746635532286,"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."}}