{"id":"W2406723167","doi":"10.1111/conl.12261","title":"A Tool for Selecting Plants When Restoring Habitat for Pollinators","year":2016,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Army Research Office; Natural Resources Conservation Service; U.S. Department of Agriculture; National Science Foundation","keywords":"Pollinator; Habitat; Forb; Pollination; Ecology; Species richness; Biology; Geography; Agroforestry; Grassland; Pollen","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006389416,0.001990789,0.001172007,0.009715888,0.0007029846,0.001854254,0.002445373,0.002389366,0.004322627],"category_scores_gemma":[0.01755636,0.0005851898,0.001589571,0.003144079,0.0005570477,0.002109286,0.002013034,0.001332915,0.002506037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005923657,"about_ca_system_score_gemma":0.0008052069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002421593,"about_ca_topic_score_gemma":0.008303463,"domain_scores_codex":[0.9970943,0.000762498,0.0003974955,0.0009865147,0.0006150354,0.0001441823],"domain_scores_gemma":[0.9886497,0.007993808,0.001032397,0.0009628833,0.0009821175,0.0003791016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008681563,0.0009043618,0.1635872,0.002412305,0.001229575,0.0007721045,0.001295345,0.0289484,0.02147417,0.003027104,0.104757,0.6707243],"study_design_scores_gemma":[0.0004087751,0.0004422172,0.04164065,0.0004274116,0.0003344117,0.001146494,0.0008902953,0.8448571,0.01890121,0.01179389,0.07897417,0.0001834707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1731569,0.002305362,0.6655782,0.001194916,0.0003482268,0.00138515,0.04485769,0.1058479,0.005325686],"genre_scores_gemma":[0.1748234,0.0001571181,0.7977585,0.0003587715,0.00008475216,0.0008065584,0.02341191,0.00132359,0.001275487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009715888,"threshold_uncertainty_score":0.03379083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07245867354186393,"score_gpt":0.2271418946087358,"score_spread":0.1546832210668719,"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."}}