{"id":"W4412426875","doi":"10.1002/edn3.70149","title":"Inferring Plant Community Phenology via Bee‐Collected Pollen","year":2025,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Phenology; Pollen; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003006058,0.0002222173,0.0001966529,0.001566702,0.0003620533,0.0004634788,0.0002827063,0.0002416734,0.000690731],"category_scores_gemma":[0.0009115808,0.000134258,0.0001574172,0.001131,0.0001425781,0.0001927135,0.0002529038,0.0001589607,0.0002288176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006659746,"about_ca_system_score_gemma":0.0004113496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06349786,"about_ca_topic_score_gemma":0.1722089,"domain_scores_codex":[0.9998453,0.00003007495,0.000007638218,0.00005814984,0.00003970605,0.000019211],"domain_scores_gemma":[0.9992354,0.0001792608,0.0002340002,0.00005035589,0.000215945,0.00008506789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370079,0.00003246234,0.7539378,0.0001350879,0.0001184825,0.0001016432,0.0005341063,0.001440931,0.2256045,0.00008816946,0.0003701708,0.01749963],"study_design_scores_gemma":[0.000002421944,0.00003505935,0.9880431,0.00001067296,0.00002470892,0.0001035407,0.0002316978,0.003666658,0.006921354,0.00004027065,0.0009145823,0.000006045239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884796,0.0003154082,0.005945995,0.00003288083,0.000004822802,0.00002773381,0.004167237,0.00010538,0.0009209564],"genre_scores_gemma":[0.9851713,0.0001408252,0.01216023,0.00003325109,0.000003881666,0.00001969031,0.002031808,0.00001577617,0.0004234201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06349786,"threshold_uncertainty_score":0.1262565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301643454860745,"score_gpt":0.1833847170199803,"score_spread":0.1603682824713729,"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."}}