{"id":"W6924705707","doi":"10.15468/dl.tjwcum","title":"GBIF Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Order (exchange); Sequence (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009130799,0.002454076,0.001679602,0.006406568,0.0008713055,0.002512834,0.002758321,0.001977227,0.1482291],"category_scores_gemma":[0.005536362,0.0009489825,0.001429197,0.01161334,0.0004815586,0.002422035,0.00285296,0.001771299,0.1830223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812492,"about_ca_system_score_gemma":0.002936312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03384557,"about_ca_topic_score_gemma":0.04632367,"domain_scores_codex":[0.9989266,0.0001127438,0.0001437384,0.0003626558,0.0002541848,0.00020003],"domain_scores_gemma":[0.9973409,0.0006124541,0.0002840352,0.0006727868,0.0007786279,0.0003112853],"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":[0.0000356979,0.00001086726,0.0004130698,0.000446015,0.00001442217,0.00001615043,0.00002126403,0.0001303549,0.0001050957,0.0003395157,0.9971526,0.001314933],"study_design_scores_gemma":[0.0001071617,0.00001221516,0.002801513,0.0002051297,0.0000161542,0.00004436951,0.00008189133,0.000216793,0.000231439,0.0008361926,0.995426,0.00002106729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005236846,0.00002745276,0.00003028253,0.00003530915,0.00001308772,0.0000049837,0.9988309,0.0004364073,0.0005693549],"genre_scores_gemma":[0.0001718406,0.00003506209,0.0001465429,0.00004134055,0.00000384014,0.00002642278,0.9990149,0.0001348912,0.0004251813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517709,"threshold_uncertainty_score":0.4958756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111135617840004,"score_gpt":0.2024751925020276,"score_spread":0.1913638363236276,"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."}}