{"id":"W7095002416","doi":"10.5281/zenodo.17442647","title":"Cheilosia (Cheilosia) latifrons","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Margin (machine learning); Peck (Imperial); Extant taxon; Clade; Girl","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":[0.0001282523,0.0009127681,0.0003543024,0.00289346,0.001498242,0.0003983469,0.0005231021,0.0005494567,0.0202684],"category_scores_gemma":[0.000230536,0.0002219158,0.0003098976,0.001061256,0.000566289,0.000605023,0.000735281,0.0004048265,0.005400012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004749516,"about_ca_system_score_gemma":0.0002348096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194935,"about_ca_topic_score_gemma":0.02309477,"domain_scores_codex":[0.9998311,0.00001871891,0.0000168995,0.0000505295,0.0000475039,0.00003510305],"domain_scores_gemma":[0.9998412,0.000023454,0.00007165727,0.00001480066,0.00003278091,0.00001608574],"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":[0.001131151,0.0002632614,0.06901856,0.001302772,0.0001115293,0.004958034,0.002214104,0.0008164412,0.08743254,0.00312885,0.02684078,0.802782],"study_design_scores_gemma":[0.0001188255,0.000461273,0.7901226,0.0005394489,0.0001305664,0.01420096,0.002133511,0.0006643652,0.004439868,0.0009349578,0.1861792,0.00007443624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6581805,0.01248489,0.004003542,0.0005559473,0.0003127012,0.0005831064,0.006918226,0.001186731,0.3157743],"genre_scores_gemma":[0.968809,0.002266841,0.002246454,0.0002822597,0.00010154,0.0001168146,0.002189165,0.0000502493,0.02393766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0202684,"threshold_uncertainty_score":0.06780457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431174713420254,"score_gpt":0.2527567506133047,"score_spread":0.2184450034791021,"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."}}