{"id":"W6887048564","doi":"10.15468/dl.mwf4jp","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); Alien; The Internet","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":[0.000968583,0.001942843,0.001543909,0.00458791,0.001011989,0.002540963,0.002716574,0.002131192,0.1533158],"category_scores_gemma":[0.006026488,0.0008728622,0.00126655,0.008642596,0.0004426778,0.002422066,0.0025242,0.00196589,0.2178662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511485,"about_ca_system_score_gemma":0.002193678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094467,"about_ca_topic_score_gemma":0.03295589,"domain_scores_codex":[0.9989692,0.0001463168,0.0001297403,0.000368383,0.0002198475,0.0001666509],"domain_scores_gemma":[0.9975535,0.0007079706,0.0002087014,0.0006513189,0.0006113838,0.0002671168],"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":[0.00002973071,0.00001261633,0.0003963445,0.0005398465,0.00001431407,0.00001553091,0.00002333769,0.0001319016,0.0001161496,0.0003535807,0.9968726,0.001494192],"study_design_scores_gemma":[0.00007301495,0.000009541704,0.00196751,0.0002065109,0.00001435224,0.00003878845,0.00008288968,0.0001803663,0.0001886214,0.0007645953,0.9964557,0.00001826316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004998557,0.00002991725,0.00004907784,0.00004346965,0.00001489059,0.000006311171,0.9986934,0.0004459733,0.0006671206],"genre_scores_gemma":[0.000176892,0.00003482321,0.0002160376,0.00005077064,0.000004060096,0.00004496996,0.9988505,0.0001483551,0.0004736955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466842,"threshold_uncertainty_score":0.5128926,"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."}}