{"id":"W6943667513","doi":"10.15468/dl.wstuvn","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data file","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":[0.001008851,0.001989338,0.001660753,0.005268039,0.001000655,0.002708701,0.002830669,0.002039634,0.1680269],"category_scores_gemma":[0.005965928,0.0009094593,0.001174386,0.01037685,0.0004478116,0.002429485,0.002570143,0.002035852,0.2345667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520516,"about_ca_system_score_gemma":0.002256916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01892703,"about_ca_topic_score_gemma":0.03236485,"domain_scores_codex":[0.998968,0.0001394355,0.0001290922,0.000363661,0.0002256524,0.0001741518],"domain_scores_gemma":[0.9975984,0.0006745129,0.0002294768,0.0006400686,0.0005792266,0.00027833],"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":[0.00002817705,0.00001101098,0.0003566612,0.0005291275,0.00001440775,0.00001410665,0.00002300281,0.000119915,0.0001160886,0.0003858007,0.9969789,0.001422792],"study_design_scores_gemma":[0.00006452439,0.000007205691,0.001602888,0.0001763851,0.00001331568,0.00003315389,0.00006801997,0.0001325254,0.0001803575,0.0007959363,0.996909,0.0000167507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000390708,0.00002664837,0.00004502502,0.00003266901,0.00001111512,0.000004823649,0.9988248,0.0003663971,0.0006494602],"genre_scores_gemma":[0.0001573665,0.00003429595,0.0002010714,0.00004346641,0.000003563091,0.0000416716,0.9988581,0.0001618413,0.0004986111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8319731,"threshold_uncertainty_score":0.5621059,"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."}}