{"id":"W6887211257","doi":"10.15468/dl.pxmpyt","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Identification (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":[0.000907072,0.001974745,0.001581675,0.005004787,0.0009196583,0.002539318,0.002595123,0.001870038,0.171313],"category_scores_gemma":[0.005683772,0.0009496282,0.001146927,0.009876483,0.0004137639,0.002246181,0.002542008,0.001820297,0.2280304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471979,"about_ca_system_score_gemma":0.002233201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983111,"about_ca_topic_score_gemma":0.03404793,"domain_scores_codex":[0.9989599,0.0001404989,0.000133835,0.0003755247,0.0002161846,0.0001740408],"domain_scores_gemma":[0.9975707,0.0006647416,0.0002442705,0.0006230091,0.000615418,0.0002819209],"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":[0.00003274416,0.00001078951,0.0003876016,0.0005769155,0.00001541049,0.00001326473,0.00002138734,0.0001180072,0.0001191425,0.0003776896,0.996914,0.001412892],"study_design_scores_gemma":[0.00007314698,0.000008787551,0.001856973,0.0001871327,0.00001508326,0.00003275719,0.00005874998,0.0001253086,0.0001743552,0.0007684029,0.9966813,0.00001808017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003662842,0.00002458597,0.00003522285,0.00002840866,0.0000101321,0.000004370754,0.9989785,0.0002949221,0.0005873091],"genre_scores_gemma":[0.0001492184,0.00003427052,0.0001805464,0.00004631192,0.000003448741,0.00003948592,0.9988945,0.0001367518,0.0005154273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.828687,"threshold_uncertainty_score":0.573099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}