{"id":"W6906100100","doi":"10.15468/dl.t49un5","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008958814,0.001820874,0.001521963,0.004799071,0.001066066,0.002972277,0.002760323,0.001844065,0.1852526],"category_scores_gemma":[0.005994914,0.0008987551,0.00134943,0.009143449,0.0004095493,0.002545749,0.002795594,0.001977973,0.268688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373046,"about_ca_system_score_gemma":0.002253208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849407,"about_ca_topic_score_gemma":0.030903,"domain_scores_codex":[0.998953,0.0001284314,0.0001311047,0.0003811926,0.0002293072,0.0001768807],"domain_scores_gemma":[0.9976243,0.0006294898,0.0001903134,0.0006862318,0.0006163985,0.0002532886],"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":[0.0000302005,0.00001046145,0.0004561596,0.0005202729,0.00001519543,0.00001775076,0.00002747731,0.0001299086,0.0001357471,0.0004136715,0.9962037,0.002039607],"study_design_scores_gemma":[0.00005028871,0.00000685375,0.001635642,0.000149146,0.00001219001,0.00003575767,0.00007842242,0.0001645234,0.0001809418,0.0007931239,0.996877,0.00001609557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000540676,0.00003103479,0.00007628049,0.00004674388,0.00001919386,0.000006697614,0.9980584,0.00073553,0.0009720389],"genre_scores_gemma":[0.0001940021,0.00003916812,0.0002875164,0.00005338246,0.000005009237,0.0000466225,0.9984692,0.0002463897,0.0006586575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8147474,"threshold_uncertainty_score":0.6197317,"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."}}