{"id":"W6894071949","doi":"10.5281/zenodo.6959019","title":"Bassettia flavipes Nicholls & Melika & Digweed & Stone 2022, comb. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Key (lock); Fungus; Taxonomy (biology)","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":[0.0002289666,0.001490176,0.0004356445,0.002278947,0.001988175,0.0006613198,0.0009684362,0.000769017,0.01026457],"category_scores_gemma":[0.0007102269,0.000335012,0.0002353303,0.001084577,0.0006296086,0.002106694,0.00116132,0.001086329,0.007130589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008115245,"about_ca_system_score_gemma":0.0004787655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01583836,"about_ca_topic_score_gemma":0.03838153,"domain_scores_codex":[0.9997432,0.00002079585,0.00002409431,0.00008959467,0.00008893356,0.0000334012],"domain_scores_gemma":[0.9997002,0.00003967773,0.00008290832,0.00002167031,0.0001046233,0.00005092303],"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":[0.0005856875,0.0001615188,0.02405976,0.001007733,0.0001198421,0.00269562,0.001002082,0.0008652945,0.02471457,0.002598332,0.04802289,0.8941667],"study_design_scores_gemma":[0.0002031086,0.0004051823,0.2193048,0.001051152,0.0003143405,0.01530348,0.00157718,0.001364088,0.004867709,0.002354448,0.7531514,0.0001031183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2781781,0.06684449,0.02083204,0.0023632,0.004977995,0.003065658,0.02155665,0.002023521,0.6001583],"genre_scores_gemma":[0.8308074,0.0251022,0.02587098,0.003082414,0.000947905,0.001329549,0.0130114,0.0002044966,0.09964358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01583836,"threshold_uncertainty_score":0.03433841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049475533925527,"score_gpt":0.2127693661395555,"score_spread":0.1822746108003002,"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."}}