{"id":"W6969346524","doi":"10.5281/zenodo.7503556","title":"Quedius fuliginosus","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Subgenus; Seta; Margin (machine learning); Lobe; Shot (pellet)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004178326,0.00008124123,0.00007706897,0.0001354097,0.001679367,0.0001685805,0.0005845127,0.0000207751,0.01622536],"category_scores_gemma":[0.00008505753,0.00009912972,0.00003261679,0.0005035214,0.00003782226,0.00007405871,0.0005721295,0.0002300805,0.001984269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657577,"about_ca_system_score_gemma":0.00000145474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005464712,"about_ca_topic_score_gemma":4.164474e-8,"domain_scores_codex":[0.9991176,0.0001293499,0.0001339772,0.0001844012,0.0002086848,0.0002259853],"domain_scores_gemma":[0.9994371,0.0000194991,0.00002206153,0.0003317728,0.00009685797,0.00009270958],"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":[0.00001471784,0.00007112207,0.000003114474,0.00003780656,0.00003874517,0.00001070814,0.0008869556,0.0060963,0.007818791,0.00954203,0.4867812,0.4886985],"study_design_scores_gemma":[0.0001695823,0.0000549025,0.0001240012,0.000001710262,0.000005523229,0.00009832813,0.0002134516,0.001430491,0.0004681547,0.0002965308,0.9970247,0.0001126504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07343598,0.0009374327,0.2001737,0.0008290391,0.0008378705,0.001137218,0.0006996994,0.01220685,0.7097422],"genre_scores_gemma":[0.9922664,0.00008125167,0.003739993,0.0001542152,0.0001733703,3.946761e-7,0.001041948,0.001734621,0.0008078041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9188305,"threshold_uncertainty_score":0.9996203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304207820844434,"score_gpt":0.245605056012736,"score_spread":0.2151842739282926,"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."}}