{"id":"W6955452176","doi":"10.5883/ds-syrphids","title":"Syrphid diversity in sweet alyssum flower strips in Quebec's lettuce fields","year":2025,"lang":"en","type":"dataset","venue":"Barcode of Life Data Systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Barcode; DNA barcoding; Sequence (biology); STRIPS; Diversity (politics)","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":[0.0003445962,0.0004439889,0.0004724062,0.003505369,0.0009942803,0.0007966377,0.001120037,0.0004288835,0.01699888],"category_scores_gemma":[0.0008004462,0.0002514904,0.0004887885,0.005266452,0.0003186113,0.0003282937,0.0005329862,0.0004452456,0.002843229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009088377,"about_ca_system_score_gemma":0.007432125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861508,"about_ca_topic_score_gemma":0.9937398,"domain_scores_codex":[0.9997696,0.00001309205,0.00001469679,0.00007557178,0.00005731575,0.00006969539],"domain_scores_gemma":[0.9989001,0.00009534997,0.0001067392,0.00008051946,0.0006677861,0.0001496115],"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":[0.0005244596,0.00007949264,0.3547936,0.001351014,0.0003344621,0.0002504451,0.001066828,0.002696339,0.002749126,0.001482997,0.5832169,0.05145428],"study_design_scores_gemma":[0.00004695053,0.00001350791,0.9242902,0.0003654092,0.00004597052,0.00006032088,0.0007263156,0.001218432,0.0003404102,0.000124555,0.0727286,0.00003937876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04073837,0.0003420314,0.0001795634,0.0001190221,0.0000170584,0.00003274499,0.9547626,0.0001794956,0.003629017],"genre_scores_gemma":[0.1191024,0.0003881648,0.000873108,0.0001170465,0.000009674001,0.0001095229,0.8710066,0.00007406347,0.008319382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01699888,"threshold_uncertainty_score":0.06594115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06427230125729598,"score_gpt":0.2975623095643367,"score_spread":0.2332900083070407,"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."}}