{"id":"W6887137668","doi":"10.15468/dl.ozj1vq","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Polygon (computer graphics)","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":[0.0008427917,0.001997755,0.001557622,0.005347817,0.001032626,0.002807808,0.002901633,0.002243133,0.1617359],"category_scores_gemma":[0.005990117,0.0009238833,0.001243665,0.01111936,0.0004426324,0.00256207,0.002758372,0.002175858,0.2222141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735632,"about_ca_system_score_gemma":0.002371788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375548,"about_ca_topic_score_gemma":0.03953474,"domain_scores_codex":[0.9990041,0.0001260402,0.0001335784,0.0003365065,0.0002242748,0.0001755848],"domain_scores_gemma":[0.9977309,0.0006302419,0.0002038084,0.0005734818,0.0006080251,0.0002535116],"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":[0.00002922733,0.00001178148,0.000425018,0.0006545687,0.00001548095,0.00001857079,0.00002849044,0.0001404747,0.0001176755,0.0004248378,0.9963451,0.001788793],"study_design_scores_gemma":[0.00006395645,0.000006947138,0.001590845,0.0002122651,0.0000128054,0.00003815006,0.00008451153,0.0001493342,0.0001520479,0.0007094774,0.9969638,0.00001588621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004729039,0.00003572237,0.00005011943,0.00004230925,0.00001366029,0.000005480445,0.9986071,0.0004274864,0.0007707638],"genre_scores_gemma":[0.0001757058,0.00004507805,0.0002321901,0.00004617526,0.000003650481,0.00004074149,0.9987795,0.000151926,0.0005250117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382641,"threshold_uncertainty_score":0.5410604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}