{"id":"W7105748294","doi":"10.5683/sp3/ojyp9a","title":"Data from: The effect of drought stress on the limits and costs of plasticity in floral longevity in response to pollinator decline","year":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pollinator; Drought stress; Longevity; Biomass (ecology); Pollen; Drought tolerance","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001603865,0.001755908,0.0018767,0.002792849,0.0007831846,0.001801093,0.002755892,0.002255383,0.04883673],"category_scores_gemma":[0.006941024,0.0007114899,0.00152209,0.004919286,0.0003685923,0.0008708109,0.001839983,0.001434095,0.03755534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201364,"about_ca_system_score_gemma":0.001877663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04121767,"about_ca_topic_score_gemma":0.06538983,"domain_scores_codex":[0.9989981,0.000154497,0.000130868,0.0003122174,0.0002220605,0.0001821838],"domain_scores_gemma":[0.9963841,0.00144193,0.0006107019,0.0005397894,0.0007362814,0.0002871087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002805794,0.00005098477,0.005127312,0.003509699,0.0002485487,0.00004111916,0.00006652877,0.0008630126,0.0004471281,0.0004409863,0.9857761,0.00314783],"study_design_scores_gemma":[0.001833109,0.0000948175,0.06105781,0.001160824,0.0003698618,0.0001018552,0.0001950989,0.001128938,0.001048381,0.001512656,0.9313951,0.0001016387],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002319674,0.00004374722,0.00002062013,0.00002910041,0.000005988874,0.00000389348,0.9994538,0.0000581731,0.0001527328],"genre_scores_gemma":[0.001188285,0.00004292844,0.0001649716,0.00003377476,0.000004761814,0.0000759641,0.9980744,0.00003613992,0.0003786522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04883673,"threshold_uncertainty_score":0.1633751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06496034280880952,"score_gpt":0.3758266648974871,"score_spread":0.3108663220886775,"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."}}