{"id":"W2728403712","doi":"10.1093/jee/tox173","title":"Assessing Wild Bee Biodiversity in Cranberry Agroenvironments: Influence of Natural Habitats","year":2017,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Royal Saskatchewan Museum; Université Laval","funders":"Government of Canada","keywords":"Pollination; Pollinator; Habitat; Biology; Species richness; Biodiversity; Ecology; Agroforestry; Pollen","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229984,0.00006858393,0.0002455288,0.00002038812,0.0001315686,0.00003665744,0.0003335218,0.00004903426,0.00004163195],"category_scores_gemma":[0.00005662243,0.00003037471,0.00007547178,0.00001266008,0.0001558544,0.0004960328,0.0001169376,0.0001236013,0.00001232917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005029208,"about_ca_system_score_gemma":0.000006216264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003513803,"about_ca_topic_score_gemma":0.00156265,"domain_scores_codex":[0.9994204,0.00003115705,0.0002722219,0.00009076096,0.0000468498,0.000138578],"domain_scores_gemma":[0.9992547,0.00009841129,0.0005789475,0.00001821947,0.00001596255,0.00003373784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004336449,0.00003445708,0.9132445,0.000002311675,0.00002316813,0.00003598602,0.00003935484,0.0000351253,0.08460099,0.0000220406,0.0001229187,0.001795782],"study_design_scores_gemma":[0.000217353,0.0001278024,0.998042,0.00002244933,0.000008183777,0.00004578472,0.0001257504,0.000006447386,0.00078456,0.0003222977,0.0002410131,0.00005637043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985069,0.0002127121,7.861561e-8,0.0009196278,0.0001075675,0.00002483267,0.000008901448,0.00000139989,0.000217953],"genre_scores_gemma":[0.9996396,0.0001764989,0.00002554092,0.00006851915,0.00006717065,1.84684e-7,6.875117e-7,1.933487e-7,0.00002157289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08479749,"threshold_uncertainty_score":0.1238645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04412033615516184,"score_gpt":0.2547001266762939,"score_spread":0.210579790521132,"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."}}