{"id":"W2905682973","doi":"10.5061/dryad.10278","title":"Data from: Functional mismatch in a bumble bee pollination mutualism under climate change","year":2015,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mutualism (biology); Pollination; Biology; Climate change; Ecology; Pollinator; 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":[0.001363803,0.0002671362,0.000343499,0.002185534,0.0005965676,0.001089889,0.0005114482,0.0007345361,0.02881218],"category_scores_gemma":[0.01047643,0.0001688845,0.0001713021,0.002594266,0.000312682,0.0006805281,0.00123779,0.0004351406,0.006711279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005673728,"about_ca_system_score_gemma":0.0005366893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105053,"about_ca_topic_score_gemma":0.02099906,"domain_scores_codex":[0.9990896,0.0001364117,0.000199551,0.0001939105,0.0002866267,0.00009385558],"domain_scores_gemma":[0.9945577,0.001554869,0.0009926435,0.001066949,0.001364561,0.0004633446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00296659,0.0002348704,0.627759,0.001861799,0.0003063068,0.001103485,0.003732172,0.0007201795,0.01447412,0.001755219,0.2246062,0.12048],"study_design_scores_gemma":[0.00009040076,0.00008294137,0.829523,0.0002519501,0.0001002535,0.000587139,0.001365316,0.001457511,0.003391713,0.0008758931,0.1622121,0.00006175435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4690678,0.0006099231,0.001730547,0.002163335,0.0002450261,0.0001968993,0.5073543,0.001780093,0.01685212],"genre_scores_gemma":[0.6075604,0.000276725,0.004865298,0.0003744175,0.00007179183,0.0004786405,0.3770769,0.0003956788,0.008900179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02881218,"threshold_uncertainty_score":0.09638631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2553735063053518,"score_gpt":0.2738177520994553,"score_spread":0.01844424579410348,"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."}}