{"id":"W7067314805","doi":"","title":"Landscape-level variation in the diversity of insect flower visitors across the cranberry agroecosystem in Québec.","year":2024,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Agroecosystem; Diversity (politics); Insect; Species diversity; Biodiversity; Cultivar","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000302313,0.0001436074,0.0002385156,0.000663292,0.0016532,0.0009364429,0.0006708388,0.0003104826,0.004007468],"category_scores_gemma":[0.0007525316,0.0001522573,0.0001985564,0.001949285,0.0007083994,0.0002727859,0.000432057,0.0004507515,0.000316829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01695956,"about_ca_system_score_gemma":0.007055435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953152,"about_ca_topic_score_gemma":0.9988315,"domain_scores_codex":[0.999745,0.00003638198,0.000006802583,0.00007273638,0.00004379298,0.00009543179],"domain_scores_gemma":[0.9993449,0.00007730118,0.00008680122,0.00002374589,0.0003149844,0.0001522568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001969964,0.00005864638,0.9597607,0.00007741086,0.0001221832,0.0001834029,0.005042102,0.0005314146,0.005288017,0.0004839416,0.004161264,0.0240938],"study_design_scores_gemma":[0.000001591396,0.000003273701,0.9986904,0.00000807669,0.000002932798,0.000007057688,0.0006837053,0.00008777911,0.00002043427,0.000005169328,0.0004869238,0.000002599998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926177,0.0005533916,0.0001855809,0.0003103458,0.000006143382,0.00003175841,0.002804532,0.00001032221,0.003480302],"genre_scores_gemma":[0.9958702,0.0001889339,0.0002305087,0.00006308276,0.000001635308,0.000014482,0.0008332498,0.000006588312,0.002791445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695956,"threshold_uncertainty_score":0.1230508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07438219328613088,"score_gpt":0.3137462550006038,"score_spread":0.2393640617144729,"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."}}