{"id":"W3135627148","doi":"10.1111/plb.13248","title":"Size‐matching as an important driver of plant–pollinator interactions","year":2021,"lang":"en","type":"article","venue":"Plant Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pollinator; Foraging; Biology; Pollination; Matching (statistics); Ecology; Metric (unit); Statistics; Mathematics; 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":[0.0004414828,0.0001802607,0.0003572079,0.0006555239,0.0003224067,0.0004731374,0.0002691133,0.0003998133,0.001506135],"category_scores_gemma":[0.002231013,0.0001368423,0.0002506684,0.0004119716,0.0003363829,0.0006208458,0.0004598425,0.0002957174,0.0001606152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622943,"about_ca_system_score_gemma":0.0001522427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398362,"about_ca_topic_score_gemma":0.001799969,"domain_scores_codex":[0.9997712,0.00005394481,0.00001477641,0.00007566492,0.00004249022,0.00004184576],"domain_scores_gemma":[0.9983645,0.0005867853,0.0005461695,0.0001322997,0.00009912735,0.0002710587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001850673,0.00006753397,0.7868327,0.00008189063,0.0001767662,0.0002346453,0.0003237648,0.001980515,0.1979095,0.000811235,0.0001743377,0.01122204],"study_design_scores_gemma":[0.000002803026,0.00004123757,0.9927954,0.000001764114,0.00002029752,0.0001420455,0.00009934221,0.00430382,0.001808162,0.0005733172,0.0002023422,0.00000945179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998539,0.0001366544,0.0008245014,0.0000313761,0.000001736958,0.000004535286,0.00008020164,0.0000211881,0.0003608417],"genre_scores_gemma":[0.9996787,0.00001575263,0.0001965041,0.000005454523,0.00000214962,0.000001723776,0.00004378832,0.000002486678,0.0000535533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001506135,"threshold_uncertainty_score":0.0050385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718172680304353,"score_gpt":0.2460174886381354,"score_spread":0.2088357618350919,"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."}}