{"id":"W6943472163","doi":"10.15468/dl.uhm6xr","title":"Occurrence Download","year":2021,"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; Set (abstract data type)","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":[0.001130366,0.001918475,0.001776407,0.005572096,0.0009248032,0.002575615,0.002838828,0.002135386,0.1703175],"category_scores_gemma":[0.007087581,0.0009613672,0.00117187,0.01140543,0.0004589466,0.002238282,0.002432005,0.001996352,0.2088021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671581,"about_ca_system_score_gemma":0.002440799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079971,"about_ca_topic_score_gemma":0.03186051,"domain_scores_codex":[0.9988072,0.0001652389,0.0001692709,0.0004024095,0.0002663122,0.0001894933],"domain_scores_gemma":[0.9968756,0.0009655724,0.0003040659,0.0007679319,0.0007520962,0.0003346313],"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":[0.00003413314,0.00001201417,0.0004119615,0.0006670522,0.00001777511,0.00001560836,0.00002302843,0.0001493895,0.0001207651,0.0003938929,0.9966852,0.001469177],"study_design_scores_gemma":[0.0000931192,0.000009215672,0.002149905,0.0002310766,0.00001730165,0.00003745623,0.00007103579,0.0001558931,0.0001889121,0.000753307,0.9962738,0.00001913847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003262657,0.00002216911,0.00003227369,0.00002847871,0.000008522195,0.000004494039,0.9991991,0.0002370895,0.0004353081],"genre_scores_gemma":[0.0001494175,0.00003127013,0.0001654075,0.0000388038,0.000003143373,0.00004247453,0.9990789,0.0001101938,0.0003803814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296825,"threshold_uncertainty_score":0.5697688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}