{"id":"W6924472887","doi":"10.15468/dl.q2yn6s","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); Geographic coordinate conversion; Reprojection error","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":[0.0008586458,0.001949532,0.001523144,0.004631969,0.001040105,0.002995581,0.00277922,0.001800803,0.1801419],"category_scores_gemma":[0.005592377,0.0009276002,0.001315646,0.009688605,0.0004110481,0.002363685,0.002733364,0.001888834,0.2645302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412858,"about_ca_system_score_gemma":0.002267279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219965,"about_ca_topic_score_gemma":0.03524579,"domain_scores_codex":[0.9989578,0.0001296241,0.0001280167,0.0003775351,0.0002224672,0.0001845682],"domain_scores_gemma":[0.9978762,0.0005321449,0.0001867479,0.0005988784,0.0005692752,0.0002367702],"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":[0.00003084485,0.00000985278,0.0004151165,0.0005033105,0.00001459422,0.00001537603,0.00002573159,0.0001274277,0.0001214126,0.0003931991,0.9964176,0.00192533],"study_design_scores_gemma":[0.00004911686,0.000007008707,0.001500482,0.0001425723,0.00001177973,0.00003262018,0.00006816906,0.0001485194,0.0001660563,0.0007346225,0.9971235,0.00001563645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004813755,0.0000317888,0.00006642911,0.00003921106,0.00001579156,0.000005641054,0.9982937,0.0006451024,0.0008541972],"genre_scores_gemma":[0.0001827911,0.0000391685,0.000253075,0.00004862016,0.000004327768,0.00004114233,0.9985549,0.0002271397,0.0006488715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8198581,"threshold_uncertainty_score":0.6026345,"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."}}