{"id":"W6912614169","doi":"10.5281/zenodo.6002395","title":"Andrena (Callandrena) placata Mitchell 1960","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frith; Paraphernalia; Ridiculous; Verisimilitude","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":[0.0001738302,0.0005655576,0.0002742237,0.000706717,0.001513292,0.0003664545,0.0006099935,0.0003958606,0.009719393],"category_scores_gemma":[0.0002879663,0.00019296,0.0001320364,0.0004829929,0.0004244009,0.0008847041,0.0009118819,0.000774499,0.003628632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006550099,"about_ca_system_score_gemma":0.0003146626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02743748,"about_ca_topic_score_gemma":0.07881053,"domain_scores_codex":[0.9998525,0.00001387955,0.000009742901,0.00005869315,0.00003692038,0.00002819449],"domain_scores_gemma":[0.9998701,0.00002084392,0.0000572838,0.00001226734,0.00002236691,0.00001706859],"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":[0.0006690675,0.0002886716,0.0486156,0.0009143203,0.00005780676,0.003154402,0.005479488,0.001218316,0.0806385,0.0130115,0.03012708,0.8158253],"study_design_scores_gemma":[0.00008672843,0.0003801767,0.2702604,0.0004210314,0.0001097946,0.004868803,0.002664207,0.0005133981,0.003510762,0.002314123,0.7148104,0.00006014491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5265632,0.01344767,0.00532124,0.001336659,0.0003410566,0.0004166379,0.003002463,0.000742939,0.4488281],"genre_scores_gemma":[0.9020554,0.004908517,0.007372239,0.0007325828,0.0001374728,0.0001647114,0.001960803,0.00004722181,0.08262112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02743748,"threshold_uncertainty_score":0.05455554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06106844341750886,"score_gpt":0.2373358997498303,"score_spread":0.1762674563323215,"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."}}