{"id":"W4392358769","doi":"10.1007/s11252-024-01516-2","title":"Assessing the contribution of lawns and semi-natural meadows to bee, wasp, and flower fly communities across different landscapes","year":2024,"lang":"en","type":"article","venue":"Urban Ecosystems","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Espace pour la vie; Centre de Géomatique du Québec; Université du Québec à Montréal; McGill University; Université de Montréal; Université Laval","funders":"","keywords":"Lawn; Species richness; Ecology; Urban ecology; Abundance (ecology); Pollinator; Geography; Vegetation (pathology); Biology; Pollination; Agroforestry; Habitat; Pollen","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":[0.000580016,0.0001539685,0.0002245285,0.001088328,0.0005133381,0.0006880944,0.0003198466,0.0002867781,0.0005601996],"category_scores_gemma":[0.001692726,0.0001368432,0.0002105132,0.0006536134,0.0006771365,0.0005229479,0.0007158281,0.0002141057,0.00005135252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005120113,"about_ca_system_score_gemma":0.0002884477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630518,"about_ca_topic_score_gemma":0.07775649,"domain_scores_codex":[0.999512,0.0001755453,0.00002418452,0.0001386281,0.00007247773,0.00007727725],"domain_scores_gemma":[0.9988295,0.0004387136,0.0002548122,0.00009230299,0.000147398,0.0002372225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001932512,0.00004719952,0.988091,0.00001865212,0.0001535163,0.00004824662,0.0006975204,0.0001935459,0.006271288,0.00009779697,0.00002755461,0.004160426],"study_design_scores_gemma":[0.000001695768,0.00004013762,0.9985306,0.000001912418,0.00001863906,0.0000282606,0.0007232254,0.0004007741,0.0001482301,0.00003823178,0.00006651672,0.000001685739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998156,0.00002413605,0.00004745521,0.000003893872,3.509223e-7,0.00000178515,0.0000197687,6.063192e-7,0.00008636803],"genre_scores_gemma":[0.9997861,0.00001533132,0.0001100123,0.000003669985,5.968878e-7,0.000002226279,0.00003703207,6.129189e-7,0.00004444959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01630518,"threshold_uncertainty_score":0.03242052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764469290500347,"score_gpt":0.2451341716269338,"score_spread":0.2174894787219304,"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."}}