{"id":"W6887038819","doi":"10.15468/dl.mjm97u","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":[0.0009340814,0.001913774,0.001580126,0.00491152,0.001074659,0.003045121,0.002785711,0.001865254,0.190112],"category_scores_gemma":[0.006347563,0.0009222118,0.001381853,0.009487223,0.0004141041,0.002612485,0.002871881,0.001952826,0.2828588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407902,"about_ca_system_score_gemma":0.002314767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197836,"about_ca_topic_score_gemma":0.03224745,"domain_scores_codex":[0.9988838,0.000137321,0.0001380639,0.0004022201,0.0002437049,0.0001948801],"domain_scores_gemma":[0.9974746,0.0006456204,0.000201216,0.0007272213,0.0006848376,0.0002665595],"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":[0.00002933854,0.000009541394,0.0004208578,0.0005035966,0.00001473924,0.0000161385,0.00002572114,0.0001199423,0.0001235411,0.0003847526,0.9964557,0.00189613],"study_design_scores_gemma":[0.00004878366,0.000006664671,0.001551139,0.000151659,0.00001203134,0.00003318572,0.0000735411,0.0001548824,0.0001741026,0.0007397631,0.9970384,0.00001584639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004855675,0.00003121721,0.0000704397,0.00004522139,0.00001876389,0.000006333275,0.9981395,0.0007133332,0.0009265536],"genre_scores_gemma":[0.0001859768,0.00003956975,0.0002691914,0.00005299449,0.000005031579,0.00004516686,0.9984877,0.0002561181,0.0006581479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8098879,"threshold_uncertainty_score":0.6359881,"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."}}