{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006858815,0.0005289791,0.0001917612,0.001338067,0.0009516158,0.0002281442,0.0006089926,0.0002704611,0.01088518],"category_scores_gemma":[0.0002967276,0.0001313047,0.0001766926,0.0004846693,0.0003193874,0.0004709065,0.0005364019,0.0002145221,0.001614044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006026597,"about_ca_system_score_gemma":0.0003427305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03101084,"about_ca_topic_score_gemma":0.07589648,"domain_scores_codex":[0.9999015,0.000004006981,0.000004490132,0.00004292253,0.00002000902,0.00002701651],"domain_scores_gemma":[0.9998877,0.00001756295,0.00004119206,0.00001494318,0.00002484402,0.00001373277],"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":[0.0008966787,0.0001562571,0.2103572,0.0009634326,0.000122719,0.002629965,0.002745914,0.001075517,0.0599404,0.005769476,0.02288805,0.6924545],"study_design_scores_gemma":[0.00005210982,0.000330308,0.775317,0.0003000704,0.0001403745,0.00504194,0.0017273,0.001254535,0.00561579,0.00156486,0.2086169,0.00003879152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7491074,0.00418002,0.005881973,0.0004509387,0.0002743164,0.0003568846,0.005898735,0.0005113235,0.2333384],"genre_scores_gemma":[0.9722757,0.0004761369,0.003284897,0.0001312044,0.00002499793,0.0000813517,0.002595858,0.00001944903,0.02111032],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03101084,"threshold_uncertainty_score":0.06166065,"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."}}