{"id":"W6931421765","doi":"10.5281/zenodo.6554744","title":"FIGURES 9–12. 9–10 in DNA barcoding of Sclerogibbidae and confirmation of the opposite sexes of Sclerogibba berlandi Benoit (Hymenoptera: Sclerogibbidae)","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"DNA barcoding; Dorsum; Scale (ratio); DNA","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":[0.0002467059,0.0004146982,0.0002220252,0.002409111,0.0009293358,0.0004949782,0.0004600028,0.0007442371,0.1745888],"category_scores_gemma":[0.0008343569,0.0001972708,0.0002549109,0.00144804,0.0004542126,0.0004122648,0.0005056151,0.0005403614,0.05573725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005728176,"about_ca_system_score_gemma":0.0004942215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009902569,"about_ca_topic_score_gemma":0.0286756,"domain_scores_codex":[0.9997569,0.00002275433,0.00001240063,0.00008688273,0.00008900368,0.00003210057],"domain_scores_gemma":[0.9997236,0.00004846011,0.00004341621,0.00003284706,0.0001006156,0.00005110482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004085296,0.00006825733,0.01721928,0.000966545,0.00005035803,0.002235428,0.001620041,0.0004317491,0.1113643,0.006865691,0.626508,0.2322619],"study_design_scores_gemma":[0.00002063105,0.00002040594,0.05532251,0.0001612385,0.00001987712,0.00139921,0.0006131324,0.0004837964,0.01373368,0.0008500607,0.9273555,0.00001992216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.08111962,0.002281108,0.04197993,0.003753678,0.004149976,0.0007215628,0.2001464,0.008910783,0.6569369],"genre_scores_gemma":[0.3333881,0.00158794,0.09360752,0.001171996,0.0005759787,0.0009452722,0.2059534,0.00401548,0.3587543],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1745888,"threshold_uncertainty_score":0.5840579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723356393304783,"score_gpt":0.2107228599933703,"score_spread":0.1934892960603225,"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."}}