{"id":"W6892222356","doi":"10.5061/dryad.3n5tb2rn6","title":"Commodity canola and seed canola visitation and plant data","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; Government of Canada; University of Lethbridge; University of Calgary","funders":"Alberta Crop Industry Development Fund","keywords":"Canola; Pollination; Pollen; Commodity; Pollen source; Pollinator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008261203,0.00142209,0.0009300382,0.003011539,0.000783067,0.00160075,0.002399454,0.002046662,0.0206324],"category_scores_gemma":[0.00519594,0.0004115755,0.001223634,0.005501314,0.000453988,0.0009020529,0.001400411,0.001242598,0.01658604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422652,"about_ca_system_score_gemma":0.001467241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05292367,"about_ca_topic_score_gemma":0.1055654,"domain_scores_codex":[0.9993356,0.0001050215,0.00006179132,0.0002551727,0.0001343299,0.0001080279],"domain_scores_gemma":[0.9985723,0.0005980512,0.0001743164,0.0002567437,0.0002674339,0.0001311097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003763597,0.0001498539,0.0167936,0.003065889,0.0002811045,0.0002672928,0.0002158123,0.002913472,0.0008912066,0.001763791,0.9627511,0.01053057],"study_design_scores_gemma":[0.0004951081,0.0000519435,0.03531532,0.0005393273,0.0001311348,0.0002717443,0.0003459621,0.003176535,0.0008293051,0.001953237,0.9568117,0.00007876238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002007172,0.0002064513,0.00007987124,0.00007522202,0.00001374263,0.00001298157,0.9967819,0.0002057826,0.0006167443],"genre_scores_gemma":[0.002644402,0.00008867164,0.0005060927,0.0000392227,0.000004122452,0.00009228546,0.9960622,0.00003430468,0.0005287453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05292367,"threshold_uncertainty_score":0.1052313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143604226739577,"score_gpt":0.3608276709865984,"score_spread":0.2464672483126407,"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."}}